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Home🔹Latest Reports🔹Cango Inc.🔹A Bitcoin Mining Leader with an AI Growth Catalyst
Cango Inc.

A Bitcoin Mining Leader with an AI Growth Catalyst

We are initiating coverage with a BUY rating, and a fair value estimate of $4.60/share, based on the average of our two valuation methodologies. We believe Cango offers an attractive, albeit high-risk, opportunity, combining an established Bitcoin mining business, with significant AI/HPC growth potential in a rapidly expanding market.

Sid Rajeev, B.Tech, MBA, CFA — Head of ResearchOctober 28, 2026
A Bitcoin Mining Leader with an AI Growth Catalyst

A Bitcoin Mining Leader with an AI Growth Catalyst

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A Bitcoin Mining Leader with an AI Growth Catalyst

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Disclosure: Cango Inc. has paid FRC a fee for research coverage and distribution of reports. This fee creates a potential conflict of interest which readers should consider. See last page for other important disclosures, rating, and risk definitions.

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All figures are in US$.

Company Data

Price and Volume (1-year)

Chart: Cango's share price over one year on a 0-to-50 axis, falling from the top of the range to near the bottom, with 2026 marked on the x-axis.
Cango's share price over one year on a 0-to-50 axis, falling from the top of the range to near the bottom, with 2026 marked on the x-axis
CANG, NYSE, DTCR* and WGMI** — YTD and 12M
*Global X Data Center & Digital Infrastructure
**CoinShares Bitcoin Mining and Digital Power ETF
  YTD 12M
CANG -91% -97%
NYSE 9% 12%
DTCR* 19% 16%
WGMI** -18% -47%

CANG, NYSE, DTCR* and WGMI** — YTD and 12M
*Global X Data Center & Digital Infrastructure
**CoinShares Bitcoin Mining and Digital Power ETF

Revenue, Adj. Net Income, EPS, Cash + Cryptos, net of Debt and Assets — 2025, 2026E and 2027E
US$ millions, except EPS 2025 2026E 2027E
Revenue $688.10 $228.52 $233.47
Adj. Net Income -$453 -$331 -$124
EPS -$16.00 -$8.07 -$3.02
Cash + Cryptos, net of Debt $704 $102 $31
Assets $1,133 $294 $286

Revenue, Adj. Net Income, EPS, Cash + Cryptos, net of Debt and Assets — 2025, 2026E and 2027E

Company Overview

Cango operates a global Bitcoin mining business while diversifying into energy and AI computing infrastructure.

Cango has transformed from a China-based automotive financing platform into a global Bitcoin mining company, since entering the industry in 2024. The company is now diversifying into AI computing, and digital infrastructure, positioning itself to capitalize on growing demand for high-performance computing.

Infographic: Cango's company history — founded 2010, NYSE listing 2018, 32 EH/s of mining capacity acquired 2024, 18 EH/s added and a 50-MW Georgia facility in 2025.
Cango's company history — founded 2010, NYSE listing 2018, 32 EH/s of mining capacity acquired 2024, 18 EH/s added and a 50-MW Georgia facility in 2025. Source: FRC

Bitcoin Mining Infrastructure

Cango owns the Bitcoin mining machines, while third-party companies provide the facilities, power, and day-to-day operations needed to run them. Cango operates 20+ mining sites across North America, the Middle East, South America, and East Africa, with 27.58 EH/s of Bitcoin mining capacity, representing 3% of the global hashrate, ranking it among the top 10 publicly traded Bitcoin miners by hashrate.

  • Hashrate: The rate at which Bitcoin mining computers perform calculations
  • EH/s: Exahashes per second, a unit used to measure hashrate
Infographic: Cango's 27.58 EH/s deployed mining capacity across 20+ sites, with the hashrate split United States 40%, Africa 25%, Oman 15%, Paraguay and Others 20%.
Cango's 27.58 EH/s deployed mining capacity across 20+ sites, with the hashrate split United States 40%, Africa 25%, Oman 15%, Paraguay and Others 20%. Source: FRC

Operating Performance

Over recent quarters, Cango has scaled back higher-cost operations to improve profitability, reducing cash costs from $83,091 in Q2 2025, to $73,313 in Q2 2026 vs. the sector average of ~$71,000 (spot BTC price: $80,500). The trade-off has been a lower hashrate and revenue.

Bitcoin Mining – Quarterly Operating Performance

Bitcoin Mining – Quarterly Operating Performance, Q4-24 to Q2-26
Source: FRC / Company
Metric Q4-24 Q1-25 Q2-25 Q3-25 Q4-25 Q1-26 Q2-26
Operating hashrate (EH/s) 30.4 ~32.0 ~37.0 ~43.0 ~43.0 37.0 27.6
BTC mined 933.8 1,541.0 1,404.4 1,930.8 1,718.3 1,266.1 656.0
Average BTC price $91,600 $93,392 $88,684 $114,471 $99,799 $76,503 ~$69,000
Cash cost/BTC $67,770 $70,602 $83,091 $81,072 $84,552 $76,928 $73,313
(BTC Price - Cash Cost)/BTC $28,066 $22,973 $15,256 $33,311 $15,720 $791 ($1,057)
All-in cost/BTC — — $98,636 $99,383 $106,251 $98,747 $98,405
Bitcoin mining revenue (US$M) $89.5 $144.2 $138.1 $220.9 $172.4 $98.4 $47.4
Total revenue (US$M) $91.5 $145.2 $139.8 $224.6 $179.5 $102.0 $50.8
Adjusted EBITDA (US$M) $2.4 ($0.8) $99.1 $80.1 ($156.3) ($154.1) ($10.7)
BTC Treasury ~934 ~2,425 3,879 5,810 7,528 1,026 1,056

Bitcoin Mining – Quarterly Operating Performance, Q4-24 to Q2-26
Source: FRC / Company

Bitcoin Mining: The Basics

In simple terms, Bitcoin mining uses specialized computers and hardware to validate transactions, with successful miners receiving newly created Bitcoin as compensation. Electricity typically accounts for over 90% of a miner’s direct costs, making access to low-cost power critical to profitability.

Infographic: the five steps of Bitcoin mining — network, miners compete, block verified, reward earned, held or sold — and Cango's three steps: owns hardware, hosting and ops, Bitcoin mined.
The five steps of Bitcoin mining — network, miners compete, block verified, reward earned, held or sold — and Cango's three steps: owns hardware, hosting and ops, Bitcoin mined. Source: FRC / Company

Bitcoin supply is capped at 21M, with over 20M already mined, reinforcing its scarcity. Every four years, new Bitcoin issuance falls 50%, reducing annual supply from the current 164,250 BTC, to 82,125 BTC after the next halving in 2028, tightening new supply.

Infographic: Bitcoin at a glance — 21.0M BTC maximum supply, 20.0M+ mined, 3.125 BTC block subsidy, halving to 1.5625 BTC in 2028; new supply 328,500 to 164,250 to 82,125 BTC/year.
Bitcoin at a glance — 21.0M BTC maximum supply, 20.0M+ mined, 3.125 BTC block subsidy, halving to 1.5625 BTC in 2028; new supply 328,500 to 164,250 to 82,125 BTC/year

$13B worth of new Bitcoin is mined annually, at current prices. A key factor affecting a miner’s revenue is the global hashrate.

Bitcoin Prices

Chart: the Bitcoin price line on an axis marked 50,000 and 100,000, with 2023 and 2025 on the x-axis.
The Bitcoin price line on an axis marked 50,000 and 100,000, with 2023 and 2025 on the x-axis. Source: FRC / Google Finance

The network hashrate measures the total computing power used by Bitcoin miners to perform calculations. As the hashrate rises, mining becomes more competitive, requiring more computing power and capital.

The hashrate rises as more miners join the network, or existing miners deploy additional computing power. Specifically, the global hashrate rose from ~780 EH/s at year-end 2024, to ~1,000 EH/s currently (+28%). Cango’s 27.58 EH/s represents ~3% of the global network.

Global Hash Rate

Chart: total hash rate (TH/s, left axis to 1.2B) and Bitcoin market price (USD, right axis to 140.0K) from 2010 to 2025, both rising steeply after 2019.
Total hash rate (TH/s, left axis to 1.2B) and Bitcoin market price (USD, right axis to 140.0K) from 2010 to 2025, both rising steeply after 2019

Key Bitcoin Market Drivers:

  • Institutional adoption: Bitcoin ETFs and institutional participation are expanding investment demand.
  • Scarcity: Bitcoin’s limited supply supports its long-term scarcity appeal.
  • Decentralization: Independence from government, and central-bank control, attracts demand from those seeking alternatives to traditional financial systems.
  • Risk-asset behaviour: Despite its scarcity, Bitcoin has not consistently acted as an inflation hedge or safe haven, often moving in line with equities.
  • Rising mining competition: Higher hashrates and costs favor large-scale mining operations, making it harder for individual miners to compete profitably.

Bitcoin benefits from institutional demand, scarcity and decentralization, but faces price volatility, and rising mining costs.

Infographic: key risks in Bitcoin mining — Bitcoin price, competition, government intervention, energy costs, technology risk and the AI/HPC shift, each with a one-line explanation.
Key risks in Bitcoin mining — Bitcoin price, competition, government intervention, energy costs, technology risk and the AI/HPC shift, each with a one-line explanation

We use gold as a benchmark due to its established role as a store of value. We estimate BTC should be priced between $67,800 and $1.36M, assuming it captures 5%–100% of gold’s total market value. Cango aims to leverage its large-scale mining operations to improve efficiency, reduce operating costs, and capitalize on potential upside from Bitcoin prices.

Infographic: Bitcoin valued against gold at $4,000/oz — capturing 5% to 100% of gold's $28,400B value implies a Bitcoin price of $67,800 to $1,355,400.
Bitcoin valued against gold at $4,000/oz — capturing 5% to 100% of gold's $28,400B value implies a Bitcoin price of $67,800 to $1,355,400. Source: FRC / World Gold Council
Bitcoin Valuation vs. Gold
Source: FRC / World Gold Council
Metric 5% 10% 25% 50% 100%
Gold Price (US$/oz) $4,000 $4,000 $4,000 $4,000 $4,000
Total Above-Ground Gold (B oz) 7.10 7.10 7.10 7.10 7.10
Value of Gold (US$B) $28,400 $28,400 $28,400 $28,400 $28,400
Total Bitcoin Supply (M) 21 21 21 21 21
Bitcoin's Share of Gold 5% 10% 25% 50% 100%
Bitcoin Expected Market Cap (US$B) $1,420 $2,840 $7,100 $14,200 $28,400
Implied Bitcoin Price $67,800 $135,600 $338,900 $677,700 $1,355,400

Bitcoin Valuation vs. Gold
Source: FRC / World Gold Council

Cango’s Expansion into AI/HPC Infrastructure

Cango is among several Bitcoin miners transitioning into AI infrastructure.

In April 2026, Cango launched EcoHash, its high-performance computing (HPC) and AI inference subsidiary, to enter the growing AI/HPC infrastructure market. This initiative aims to diversify revenue beyond Bitcoin mining by providing computing resources for demanding workloads, while retaining mining as a complementary business.

AI Adoption Across Industries

Organizations across industry are adopting AI to improve efficiency and decision-making. As adoption accelerates, demand for high-performance AI computing infrastructure continues to grow. Demand for AI computing comes from a broad range of customers, including AI developers (e.g., OpenAI, Anthropic, and xAI), enterprises, startups, research institutions, and government agencies.

Infographic: example AI applications by industry — technology, financial services, healthcare, manufacturing, retail and e-commerce, and government and research.
Example AI applications by industry — technology, financial services, healthcare, manufacturing, retail and e-commerce, and government and research. Source: FRC
AI Applications Across Key Industries
Source: FRC
Industry Example AI Applications
Technology Chatbots, AI assistants, code generation
Financial Services Fraud detection, risk analysis
Healthcare Diagnostics, drug discovery
Manufacturing Robotics, predictive maintenance
Retail & E-commerce Product recommendations, customer service
Government & Research Cybersecurity, scientific research

AI Applications Across Key Industries
Source: FRC

The AI Infrastructure Ecosystem

Data centers are the backbone of the AI ecosystem, providing the computing power needed to train and deploy AI models. Organizations requiring AI computing generally have three options:

  • Build and operate their own AI infrastructure (e.g., Meta and Google), providing control but requiring significant capital investment and technical expertise.
  • Rent AI computing from a hyperscale cloud provider (e.g., Amazon AWS, Microsoft Azure, and Google Cloud), which offers AI computing alongside a broad portfolio of cloud services, including storage, databases, and networking.
  • Rent AI computing from a specialized AI infrastructure provider (e.g., Cango, CoreWeave, Lambda, and Crusoe), whose primary business is delivering high-performance computing infrastructure for AI applications.

Building AI infrastructure requires significant capital, power, and technical expertise, making leased AI computing the preferred option for most organizations, while enabling on-demand scalability.

Infographic: three ways organizations access AI computing — build in-house, hyperscalers, and specialized AI infrastructure providers such as Cango (EcoHash), CoreWeave, Lambda and Crusoe.
Three ways organizations access AI computing — build in-house, hyperscalers, and specialized AI infrastructure providers such as Cango (EcoHash), CoreWeave, Lambda and Crusoe. Source: FRC
Three Ways Organizations Access AI Computing
Source: FRC
Option Typical Users Best Suited For Examples
Build In-house Meta, Google, banks, governments Organizations with massive, long-term AI computing needs and sufficient capital Meta, Tesla, government agencies
Hyperscalers Most enterprises, startups, software companies Organizations seeking flexible, general-purpose cloud infrastructure with AI capabilities Amazon (AWS), Microsoft (Azure), Google Cloud
Specialized AI Infrastructure Providers AI model developers, AI startups, research organizations, enterprises with intensive AI workloads Organizations requiring dedicated, AI-optimized GPU infrastructure Cango (EcoHash), CoreWeave, Lambda, Crusoe

Three Ways Organizations Access AI Computing
Source: FRC

While hyperscalers dominate the market, specialized providers help meet growing AI demand.

Chart: AI infrastructure capacity in gigawatts — hyperscalers 20–30+ GW, specialized AI providers ~2–5 GW, total AI infrastructure market ~25–35 GW.
AI infrastructure capacity in gigawatts — hyperscalers 20–30+ GW, specialized AI providers ~2–5 GW, total AI infrastructure market ~25–35 GW. Source: FRC

While hyperscalers offer AI as one of many cloud services, specialized providers focus exclusively on AI computing, complementing rather than replacing the major cloud platforms. We believe both business models can coexist, much like Amazon coexists with specialized retailers such as Best Buy and Home Depot, as the rapidly growing AI computing market is large enough to support both.

Competitive Landscape

The specialized AI infrastructure market remains relatively fragmented, with a mix of established private companies, public companies, and emerging entrants. While most providers operate across North America and Europe, they differ in scale, geographic reach, and stage of development.

Specialized AI infrastructure providers — Company, Founded, Regions and Relative Scale
Source: FRC / Various
Company Founded Regions Relative Scale
CoreWeave (NASDAQ: CRWV) 2017 North America, Europe Industry leader / AI cloud
Crusoe (Private) 2018 North America, Europe, Middle East Large/private
Lambda (Private) 2012 North America Large/private
Nebius (NASDAQ: NBIS) 2024 Europe, North America Large/public
IREN (NASDAQ: IREN) 2018 North America, Australia Large/public
Cipher Digital (NASDAQ: CIFR) 2021 North America Large/public
TeraWulf (NASDAQ: WULF) 2021 North America Large/public
Bitdeer Technologies (NASDAQ: BTDR) 2018 North America, Asia, Europe Large/public
Cango Inc. (NYSE: CANG) 2026 (AI) North America (planned) Early-stage/public

Specialized AI infrastructure providers — Company, Founded, Regions and Relative Scale
Source: FRC / Various

CoreWeave (MCAP: $33B), a leading specialized AI infrastructure company, provides a useful case study of the sector's growth potential. Revenue grew from $16M (2022), to an estimated $13B in 2026. Estimated economics are ~$4.2M in gross profit per MW vs. ~$15M in initial CAPEX per MW, implying an attractive payback.

CoreWeave Benchmark — Revenue, Gross Margin, AI Data Centers and Active Power Capacity
Source: FRC / Various
Metric CoreWeave
Founded 2017 (pivoted to AI cloud in 2019)
IPO March 2025 (NASDAQ: CRWV)
Revenue (2022) $16M
Revenue (2023) $229M (+1,300% YoY)
Revenue (2024) $1.92B (+737% YoY)
Revenue (2025) $5.13B (+168% YoY)
Revenue (2026E) $12.67B (+147% YoY)
Key Customers Microsoft, OpenAI, Meta, NVIDIA, IBM, Cohere
Gross Margin ~70%
AI Data Centers 43
Active Power Capacity >850 MW active; 3.1 GW contracted
Revenue / MW ~6.0M
Gross Profit / MW ~$4.2M
Estimated Initial CapEx / MW ~$15M

CoreWeave Benchmark — Revenue, Gross Margin, AI Data Centers and Active Power Capacity
Source: FRC / Various

Cango: Overview

Cango is building an integrated platform spanning AI infrastructure and GPU computing services.

Growing demand for computing is constrained by power availability, high capital requirements, and lengthy construction timelines. Cango aims to help address this infrastructure gap through modular AI data centers, enabling faster deployment, and scalable expansion of computing capacity.

The AI computing value chain begins with access to reliable, affordable power, followed by data center infrastructure (facilities and cooling), GPU hardware (AI processors), and computing services delivered to customers. Cango operates across data center infrastructure, GPU deployment, and computing services, capturing value across multiple stages.

AI/HPC Value Chain

Infographic: the AI/HPC value chain — power supply, data-center infrastructure, GPU infrastructure, GPU compute services, end customers — with Cango's position spanning stages 2 to 4.
The AI/HPC value chain — power supply, data-center infrastructure, GPU infrastructure, GPU compute services, end customers — with Cango's position spanning stages 2 to 4

Solutions & Services

Customers can access AI computing resources on demand over the internet. The following chart outlines how Cango plans to deliver computing services.

Infographic: how Cango's AI/HPC business works, from procuring GPU servers and deploying infrastructure to customer access, GPU computing services and a usage-based revenue model.
How Cango's AI/HPC business works, from procuring GPU servers and deploying infrastructure to customer access, GPU computing services and a usage-based revenue model. Source: FRC

Cango intends to offer two types of services: bare-metal GPU hosting, and data center colocation. Both are designed to generate recurring revenue through customer fees.

Infographic: Cango's two AI/HPC business models — GPU hosting (bare-metal), where Cango supplies the GPUs, and colocation, where customers install their own equipment at Cango's facility.
Cango's two AI/HPC business models — GPU hosting (bare-metal), where Cango supplies the GPUs, and colocation, where customers install their own equipment at Cango's facility

Cango targets other specialized AI cloud and GPU infrastructure providers, AI companies, and companies seeking scalable GPU capacity. Initial AI revenue began in Q3-26.

Infographic: Cango's AI/HPC target clients — AI and ML companies, neoclouds, research and academia as primary compute users; government and enterprises as additional infrastructure users.
Cango's AI/HPC target clients — AI and ML companies, neoclouds, research and academia as primary compute users; government and enterprises as additional infrastructure users. Source: FRC

In August 2025, Cango acquired a 50 MW Georgia Bitcoin mining facility for $19.5M. In Q2-2026, it converted 3 MW of capacity to AI-enabled power infrastructure for a demonstration project. The remaining 47 MW continues to support Bitcoin mining, with potential for future AI/HPC expansion.

Cango began generating AI revenue in Q3-26. Management has not disclosed the number of AI customers or the associated revenue opportunity. Future deployments will depend on customer demand, and feedback from the demonstration project.

Upcoming revenue and performance updates should provide valuable insights into customer demand, workload types, and scalability. We note that this remains an early-stage business, with significant upside potential if management executes its growth strategy.

Photo: Cango's facility — inside the facility, the evaporative cooling section and cooling unit, switchgear cabinet A, a row of modular containers and an AI compute module.
Cango's facility — inside the facility, the evaporative cooling section and cooling unit, switchgear cabinet A, a row of modular containers and an AI compute module. Source: Company

Cango plans to replicate its modular AI/HPC deployments across high-potential locations, but has not provided guidance on its expansion plans, or targeted capacity. For context, the U.S. AI infrastructure market size is estimated at 25–35 GW, 8,000–12,000 times Cango’s current 3 MW project.

Market Overview

The global AI market is projected to grow from $391B (2025) to $3.5T (2033), a 31% CAGR.

Global AI Market Size

Chart: global AI market size — $93.5B in 2021, $390.9B in 2025 and $3,497.3B in 2033, a CAGR of 30.6% for 2026-2033.
Global AI market size — $93.5B in 2021, $390.9B in 2025 and $3,497.3B in 2033, a CAGR of 30.6% for 2026-2033. Source: Grandview Research

The global AI data center market is expected to expand from $147B (2025) to $811B (2033), a 24% CAGR.

Chart: global AI data center market size by region — $147.3B in 2025 rising to $810.6B in 2033, split between Asia Pacific, MEA, Latin America, North America and Europe.
Global AI data center market size by region — $147.3B in 2025 rising to $810.6B in 2033, split between Asia Pacific, MEA, Latin America, North America and Europe. Source: Grandview Research

Global AI infrastructure spending is forecast to increase from $497B (2026) to $1.2T (2030), a 25% CAGR.

Global AI Infrastructure Spending Forecast

Chart: global AI infrastructure spending from 2024A to 2030E on an axis marked $0 to $1.4T, with the bars rising past $1T by 2029E.
Global AI infrastructure spending from 2024A to 2030E on an axis marked $0 to $1.4T, with the bars rising past $1T by 2029E. Source: IDC Worldwide Quarterly AI Infrastructure Tracker, July 2026

Data center electricity demand is projected to grow 15% p.a. through 2030, over 4x faster than other sectors. In summary, we believe the above-mentioned trends provide a favorable backdrop for specialized AI infrastructure providers such as Cango.

Global Data Centre Electricity Consumption

Chart: global data centre electricity consumption in TWh, from about 2020 to 2030 on a 0-to-1000 axis, with the area right of the 2024 “Projected” divider shown as a forecast.
Global data centre electricity consumption in TWh, from about 2020 to 2030 on a 0-to-1000 axis, with the area right of the 2024 “Projected” divider shown as a forecast. Source: IEA

Management and Directors

Cango’s head office is in Dallas, Texas. Management, board, and key investors own 60%. Three out of six directors are independent. Cango is led by a team with experience in cryptocurrency, digital infrastructure, AI/HPC computing, finance and corporate development.

Management & Board Members and Significant Investors — Shares and % of Total
*46% Voting Interest
Source: Company / FRC
Management & Board Members Shares % of Total
Peng Yu – CEO & Director — —
Simon Ming Yeung Tang – CFO & Director — —
Xin Jin – Chairman & Non-Executive Director 1,926,729 4.70%
Chi Ming Lee – Independent Director — —
Yanjun Lin – Independent Director — —
Haitian Lu – Independent Director — —
Significant Investors Shares % of Total
Enduing Wealth Capital Limited* 1,700,000 4.15%
Golden TechGen Limited 7,035,303 17.16%
Chang-Wei Chiu (former Director) 4,920,251 12.00%
Xiaojun Zhang (former Chairman) 3,269,549 7.97%
Jiayuan Lin (former Director) 3,243,326 7.91%
Boyu Capital Group Management Ltd. 2,363,564 5.76%
Total 24,458,722 59.66%

Management & Board Members and Significant Investors — Shares and % of Total
*46% Voting Interest
Source: Company / FRC

Brief biographies of the company’s management team and board members follow:

Xin Jin — Chairman & Non-Executive Director

Mr. Jin is the founder and CEO of Antalpha Platform Holding Company and has extensive experience in cryptocurrency mining, mining hardware and digital infrastructure. Before founding Antalpha, he held management roles in mining-machine distribution and software businesses. His background provides Cango with significant expertise in the crypto-mining and digital-asset infrastructure sectors.

Peng Yu — CEO & Executive Director

Mr. Yu has over 18 years of experience across Bitcoin mining, energy, M&A and asset management. Before joining Cango, he served as Managing Director of ABC International Investment Management and previously held senior positions at Zhongrong Huijin Asset Management and ORIX Asia Capital. He began his career in investment banking and property development.

Simon Ming Yeung Tang — CFO & Director

Mr. Tang is an experienced corporate finance professional with extensive investment banking and legal experience. Before Cango, he served as CFO of two technology and new-energy companies and previously spent 11 years with Credit Suisse’s APAC TMT investment banking team. He also practiced corporate law at Linklaters and holds a degree in Jurisprudence from the University of Oxford.

Chi Ming Lee — Independent Director

Mr. Lee has extensive experience in finance, securities regulation and asset management. He previously held senior positions at Hong Kong’s Securities and Futures Commission and has served as an independent director of several financial and technology companies. He is a fellow of the ACCA and HKICPA and holds degrees in accountancy, law and business administration.

Yanjun Lin — Independent Director

Mr. Lin is a FinTech and digital-asset specialist with experience in investment banking, virtual-asset banking and financial services. He was previously CEO for Asia at AMINA Bank and CFO of 9F Inc., and is a founding partner of I.N Capital, an investment and consulting firm focused on blockchain and AI.

Prof. Haitian Lu — Independent Director

Prof. Lu is a professor of accounting and finance at The Hong Kong Polytechnic University, with expertise in FinTech, RegTech and sustainable finance. He also holds directorships across financial and technology-related organizations. He earned a Ph.D. in law from the National University of Singapore and law degrees from Liverpool University and Nanjing University.

Financials

H1-26 revenue and EPS declined as Cango scaled back uneconomic mining operations, reducing BTC production, while lower BTC prices added further pressure. BTC prices declined YoY, from ~$89,000 in Q2-25, to ~$69,000 in Q2-26. In addition, cash costs per BTC declined YoY, from ~$83,000 in Q2-25, to ~$73,000 in Q2-26.

INCOME STATEMENTS ($M) — 2025, H1-2025, H1-2026 and YoY
Source: FRC / Company
INCOME STATEMENTS ($M)
YE December 31
2025 H1-2025 H1-2026 YoY
Revenue $688.10 $284.00 $152.80 -46%
Cost of revenue -$543.30 -$225.40 -$150.30 -33%
Gross profit $144.80 $58.50 $2.50 -96%
G&A -$28.90 -$13.00 -$15.60 20%
EBITDA $115.90 $45.50 -$13.10 N/A
Adj. EBITDA (incl. FV changes) $24.52 $100.70 -$164.80 N/A
Depreciation -$116.60 -$43.20 -$46.30 7%
EBIT -$0.70 $2.30 -$43.80 N/A
Interest expense -$20.00 -$3.40 -$7.30 N/A
Impairment & other -$434.80 -$256.90 -$276.70 N/A
Net income (loss) -$452.80 -$205.10 -$342.70 N/A
EPS -$16.00 -$9.73 -$8.91 N/A

INCOME STATEMENTS ($M) — 2025, H1-2025, H1-2026 and YoY
Source: FRC / Company

Margins — 2025, H1-2025 and H1-2026
Source: FRC / Company
Margins 2025 H1-2025 H1-2026
Gross 21% 21% 2%
EBITDA 17% 16% -9%
EBIT 0% 1% -29%
Net -66% -72% -224%

Margins — 2025, H1-2025 and H1-2026
Source: FRC / Company

% of Revenue — 2025, H1-2025 and H1-2026
Source: FRC / Company
% of Revenue 2025 H1-2025 H1-2026
G&A 4% 5% 10%

% of Revenue — 2025, H1-2025 and H1-2026
Source: FRC / Company

We believe H2-2026 margins will be higher, as the current BTC price is 16% above the Q2 average.

Summary of Cash Flows ($M) — 2024 and 2025
Source: FRC / Company
Summary of Cash Flows ($M) 2024 2025
Cash Flows from Operations -$40.83 -$109.83
Cash Flows from Investing -$178.67 $78.68
Cash Flows from Financing -$17.70 -$148.92
Net Change -$245.61 -$176.30
Free Cash Flows -$168.92 -$224.61

Summary of Cash Flows ($M) — 2024 and 2025
Source: FRC / Company

Cango has a healthy balance sheet at the end of Q2-2026, with 1,056 BTC (~$85M), $13M in other cryptos, $10M in cash, $40M in receivables from the disposal of the old auto-finance business, and $49M in debt.

Liquidity and Capital Structure ($M) — 2025 and Q2-2026
Source: FRC / Company
Liquidity and Capital Structure ($M)
YE December 31
2025 Q2-2026
Cash $41.20 $10.10
Cryptos $663.04 $74.40
Working Capital -$51.60 $0.10
Current Ratio 0.71 1.00
LT Debt $557.60 $41.20
Total Debt $557.60 $49.20
Total Debt / Capital 58% 27%
EBIT Interest Coverage N/A N/A

Liquidity and Capital Structure ($M) — 2025 and Q2-2026
Source: FRC / Company

FRC DCF Valuation

We value Cango’s Bitcoin mining business at $46M, or $1.11/share. Similarly, we value the AI/HPC business at $215M, or $5.25/share, assuming Cango converts its entire 50 MW Georgia mining facility to AI/HPC infrastructure by 2030. Nonetheless, our AI/HPC valuation is preliminary and highly speculative, based on comparable-company assumptions for key operating metrics and capital structure, with a higher discount rate to reflect execution risks. Using a sum-of- parts valuation, we arrive at an overall DCF value of $5.36/share.

FRC DCF valuation — BTC Mining (FRC Estimates), 2026E to 2033E and Terminal
Source: FRC / Various
BTC Mining (FRC Estimates) # 2026E 2027E 2028E 2029E 2030E 2031E 2032E 2033E Terminal
Hash Rate (EH/s)   27.6 27.6 27.6 27.6 27.6 27.6 27.6 27.6  
BTC mined per month/EHs   8 8 4 4 4 4 2 2  
Bitcoin mined per year   2,841 2,624 1,312 1,312 1,312 1,312 656 656  
Bitcoin price   $78,000 $78,000 $78,000 $89,000 $89,000 $89,000 $89,000 $89,000  
Cost Per Bitcoin   $75,000 $71,760 $71,760 $71,200 $71,200 $71,200 $71,200 $71,200  
Gross Profit Per Bitcoin   $3,000 $6,240 $6,240 $17,800 $17,800 $17,800 $17,800 $17,800  
Revenue ($M)   $226.27 $204.67 $102.34 $116.77 $116.77 $116.77 $58 $58  
Direct Costs ($M)   $213.04 $188.30 $94.15 $93.41 $93.41 $93.41 $47 $47  
Growth CAPEX ($M)   - - - - - - - -  
Maintenance CAPEX ($M)   $11.31 $10.23 $5.12 $5.84 $5.84 $5.84 $2.92 $2.92  
Total CAPEX   $11.31 $10.23 $5.12 $5.84 $5.84 $5.84 $2.92 $2.92  
Free Cash Flows   -$0.73 $2.87 $1.43 $12.84 $12.84 $12.84 $6.42 $6.42  
Present Value   -$0.67 $2.41 $1.10 $9.07 $8.31 $7.62 $3.49 $3.20 $17.68

FRC DCF valuation — BTC Mining (FRC Estimates), 2026E to 2033E and Terminal
Source: FRC / Various

FRC DCF valuation — AI/HPC Buildout (FRC Estimates), 2026E to 2033E and Terminal
Source: FRC / Various
AI/HPC Buildout (FRC Estimates) 2026E 2027E 2028E 2029E 2030E 2031E 2032E 2033E Terminal
New Capacity Added (MW) 3 10 10 10 10 7 - -  
Total Capacity (MW) 3 13 23 33 43 50 50 50  
Utilization (%) 50% 60% 60% 70% 70% 80% 80% 80%  
Revenue/MW ($M) $6.00 $6.00 $6.00 $6.00 $6.00 $6.00 $6.00 $6.00  
Revenue ($M) $2.25 $28.80 $64.80 $117.60 $159.60 $223.20 $240.00 $240.00  
Gross Margin 70% 70% 70% 70% 70% 70% 70% 70%  
Gross Profit ($M) $1.58 $20.16 $45.36 $82.32 $111.72 $156.24 $168.00 $168.00  
CAPEX/MW ($M) $15.00 $15.00 $15.00 $15.00 $15.00 $15.00 $15.00 $15.00  
Growth CAPEX ($M) $45.00 $150.00 $150.00 $150.00 $150.00 105.00 - -  
Maintenance CAPEX ($M) — $2.88 $6.48 $11.76 $15.96 $22.32 $24.00 $24.00  
Total CAPEX $45.00 $152.88 $156.48 $161.76 $165.96 $127.32 $24.00 $24.00  
Free Cash Flows -$43.76 -$137.04 -$120.84 -$97.08 -$78.18 -$4.56 $108.00 $108.00  
Present Value -$38.93 -$108.47 -$85.10 -$60.82 -$43.58 -$2.26 $47.65 $42.39 $464.52

FRC DCF valuation — AI/HPC Buildout (FRC Estimates), 2026E to 2033E and Terminal
Source: FRC / Various

FRC DCF valuation — sum-of-parts: BTC Mining and AI/HPC, Weighted Avg Cost of Capital, AT-NPV ($M) and Fair Value per Share
Source: FRC / Various
  BTC Mining AI/HPC
Cost of equity 10% 25%
Cost of debt 7% 7%
Debt to Capital 30% 70%
Weighted Avg Cost of Capital 9% 12%
AT-NPV $M) $45.52 $215.40
AT-NPV ($M) - Consolidated $260.91
Working Capital - LT Debt ($M) -$41.10
Fair Value ($M) $219.81
# of Shares (M) 41.02
Fair Value per Share $5.36

FRC DCF valuation — sum-of-parts: BTC Mining and AI/HPC, Weighted Avg Cost of Capital, AT-NPV ($M) and Fair Value per Share
Source: FRC / Various

Key Assumptions — Revenue/MW, Initial CAPEX/MW and Maintenance CAPEX
Source: FRC / Various
Key Assumptions  
Revenue/MW ($M) - HP/AI $6
Initial CAPEX/MW ($M) - HPC/AI $15
Maintenance CAPEX (% of Revenue) 10%

Key Assumptions — Revenue/MW, Initial CAPEX/MW and Maintenance CAPEX
Source: FRC / Various

FRC Comparables Valuation

Similar to our DCF valuation, we value Cango’s Bitcoin mining and AI/HPC businesses separately using comparable-company multiples, as the market assigns a premium to AI/HPC for its growth potential and robust industry outlook (9x vs. 4x EV/revenue). Cango trades at an 88% discount to Bitcoin mining comparables (0.5x vs. 4.0x forward EV/revenue). Applying sector multiples to both business lines yields a valuation of $3.83/share. Given Cango’s smaller size, we apply a 90% discount for conservatism.

Cango vs BTC Miners — Current Hashrate (EH/s), Cash Cost per BTC and EV/Revenue
Source: FRC / S&P Capital IQ / Various
Cango vs BTC Miners MCAP ($M) Enterprise Value (EV, $M) Gross Margin Debt / Capital Current Hashrate (EH/s) BTC Mined per Year Cash Cost per BTC Revenue ($M) EV/Revenue
IREN $10,021 $11,964 69% 65% 23 3,700 $65,000 $707 4.54
Hut 8 $7,762 $15,508 62% 81% 15 3,504 $73,000 $318 53.62
TeraWulf $5,978 $8,595 69% 97% 6 690 $175,000 $165 35.27
Riot Platforms $4,725 $5,131 28% 29% 44 6,120 $75,000 $675 8.11
Cipher Digital $3,199 $7,981 n/a 91% 12 1,380 $216,000 $191 38.15
MARA Holdings $2,642 $4,785 40% 58% 70 9,340 $86,000 $804 6.90
CleanSpark $1,996 $3,579 47% 70% 50 7,450 $72,000 $679 6.19
Bitdeer $1,926 $3,417 n/a 64% 86 8,730 $61,000 $812 3.70
HIVE Digital $522 $678 35% 47% 24 3,600 $60,000 $331 1.92
Cango Inc. $51 $92 6% 27% 28 2,841 $73,000 $205 0.45
Average (excl. outliers)     45% 63% 36 4,735 $70,625   3.95
Cango (Discount)                 -89%
Cango (Fair Value @ Average EV/R) - 90% discount                 $1.97

Cango vs BTC Miners — Current Hashrate (EH/s), Cash Cost per BTC and EV/Revenue
Source: FRC / S&P Capital IQ / Various

AI/HC Larger Players — MCAP ($M), Enterprise Value (EV, $M) and EV/R (f)
Source: FRC / S&P Capital IQ / Various
AI/HC Larger Players MCAP ($M) Enterprise Value (EV, $M) Gross Margin Debt / Capital EV/R (f)
Nebius Group N.V. $42,011 $44,165 74% 50% 14.61
CoreWeave, Inc. $30,439 $76,468 67% 91% 6.13
IREN Limited $10,020 $11,965 68% 65% 4.54
Hut 8 Corp. $7,762 $15,508 62% 81% 53.62
TeraWulf Inc. $5,978 $8,595 69% 97% 35.27
Applied Digital Corporation $5,392 $11,123 22% 63% 12.15
Cipher Digital Inc. $3,199 $7,981 n/a 91% 38.15
Bit Digital, Inc. $302 $821 57% 46% 5.68
Average (excl. outliers)     60% 73% 8.62
Cango (Fair Value @ Average EV/R) - 90% Discount         $2.86

AI/HC Larger Players — MCAP ($M), Enterprise Value (EV, $M) and EV/R (f)
Source: FRC / S&P Capital IQ / Various

FRC Comparables Valuation — Consolidated Fair Value
*We base our valuation on projected AI/HPC revenue from 80 MW of installed capacity by 2030
Source: FRC / S&P Capital IQ / Various
   
Consolidated Fair Value (Sum of Parts + Working Capital - LT Debt) $3.83

FRC Comparables Valuation — Consolidated Fair Value
*We base our valuation on projected AI/HPC revenue from 80 MW of installed capacity by 2030
Source: FRC / S&P Capital IQ / Various

We are initiating coverage with a BUY rating, and a fair value estimate of $4.60/share, based on the average of our two valuation methodologies. We believe Cango offers an attractive, albeit high-risk, opportunity, combining an established Bitcoin mining business, with significant AI/HPC growth potential in a rapidly expanding market. Following a 97% YoY share price decline, its 88% discount to Bitcoin mining comparables may offer substantial upside, if management successfully executes its AI/HPC strategy, and captures market share.

Risks

We are assigning a risk rating of 4 (Speculative). We believe the company is exposed to the following key risks (not exhaustive):

  • Bitcoin Price Volatility: Lower BTC prices and rising mining difficulty may pressure margins.
  • Power Costs: Higher electricity costs and energy constraints may reduce profitability.
  • AI/HPC Execution: Early-stage business line with significant execution risk.
  • Capital Requirements: Significant funding needed to deploy, and scale AI infrastructure.
  • GPU Supply: Delays or shortages in GPUs and related hardware.
  • Competition: Intense competition from larger, established AI/HPC providers.

APPENDIX

INCOME STATEMENTS ($M) — 2025, 2026E and 2027E
INCOME STATEMENTS ($M)
YE December 31
2025 2026E 2027E
Revenue $688.10 $228.52 $233.47
Cost of revenue -$543.30 -$213.71 -$196.94
Gross profit $144.80 $14.81 $36.53
G&A -$28.90 -$30.60 -$36.72
EBITDA $115.90 -$15.79 -$0.19
Adj. EBITDA (incl. FV changes) $24.52 -$91.29 -$0.19
Depreciation -$116.60 -$97.23 -$106.95
EBIT -$0.70 -$113.02 -$107.14
Interest expense -$20.00 -$15.33 -$16.86
Impairment & other -$434.80 -$202.50  
Net income (loss) -$452.80 -$330.85 -$124.00
EPS -$16.00 -$8.07 -$3.02

INCOME STATEMENTS ($M) — 2025, 2026E and 2027E

CASH FLOW STATEMENTS ($M) — 2025, 2026E and 2027E
CASH FLOW STATEMENTS ($M)
YE December 31
2025 2026E 2027E
Net income (loss) -$621.95 -$330.85 -$124.00
Non-cash items & working capital changes $512.12 $211.29 $73.64
Cash flow from operating activities -$109.83 -$119.56 -$50.37
 
Capital expenditures & mining equipment -$114.78 -$55.00 -$160.00
Investments & other investing activities $193.46    
Cash flow from investing activities $78.68 -$55.00 -$160.00
 
Debt & financing activities -$148.17 -$487.80 $140.00
Share issuances / other financing -$0.75 $0.00 $79.95
Cash flow from financing activities -$148.92 -$487.80 $219.95

CASH FLOW STATEMENTS ($M) — 2025, 2026E and 2027E

BALANCE SHEETS ($M) — 2025, 2026E and 2027E
BALANCE SHEETS ($M)
YE December 31
2025 2026E 2027E
ASSETS      
Cash & cash equivalents $41.20 $8.84 $18.42
Cryptocurrencies $0.04 $12.90 $12.90
Receivables & other current assets $83.86 $92.24 $101.47
Assets of discontinued operations - - -
Total current assets $125.10 $113.98 $132.79
Mining machines $248.70 $46.20 $46.20
Bitcoin collateral receivable $663.00 $79.95 $0.00
PP&E $96.20 $53.97 $107.02
Total non-current assets $1,007.90 $180.12 $153.22
TOTAL ASSETS $1,133.00 $294.10 $286.01
 
LIABILITIES      
Current liabilities      
Debt $0.00 $8.00 $8.00
Other current liabilities $176.80 $124.41 $136.85
Total current liabilities $176.80 $132.41 $144.85
Debt $557.60 $61.80 $201.80
Other long-term liabilities $1.60 $1.60 $1.60
Total long-term liabilities $559.20 $63.40 $203.40
TOTAL LIABILITIES $736.00 $195.81 $348.25
Shareholders' equity $397.00 $98.29 -$62.25
TOTAL LIABILITIES + EQUITY $1,133.00 $294.10 $286.01

BALANCE SHEETS ($M) — 2025, 2026E and 2027E

Frequently asked questions

What is Cango’s Bitcoin mining business?
Cango has transformed from a China-based automotive financing platform into a global Bitcoin mining company, since entering the industry in 2024. The company is now diversifying into AI computing, and digital infrastructure, positioning itself to capitalize on growing demand for high-performance computing. Cango operates 20+ mining sites across North America, the Middle East, South America, and East Africa, with 27.58 EH/s of Bitcoin mining capacity, representing 3% of the global hashrate, ranking it among the top 10 publicly traded Bitcoin miners by hashrate.
Why is Cango expanding into AI/HPC infrastructure?
In April 2026, Cango launched EcoHash, its high-performance computing (HPC) and AI inference subsidiary, to enter the growing AI/HPC infrastructure market. This initiative aims to diversify revenue beyond Bitcoin mining by providing computing resources for demanding workloads, while retaining mining as a complementary business. In August 2025, Cango acquired a 50 MW Georgia Bitcoin mining facility for $19.5M. In Q2-2026, it converted 3 MW of capacity to AI-enabled power infrastructure for a demonstration project. The remaining 47 MW continues to support Bitcoin mining, with potential for future AI/HPC expansion.
Why does FRC believe Cango is undervalued?
We value Cango’s Bitcoin mining business at $46M, or $1.11/share. We value the AI/HPC business at $215M, or $5.25/share, assuming Cango converts its entire 50 MW Georgia mining facility to AI/HPC infrastructure by 2030.
What are the biggest risks to Cango?
Bitcoin Price: BTC price declines and rising mining difficulty. Power Costs: Rising electricity costs and energy constraints. AI/HPC Execution: Early-stage business line with significant execution risk. Capital Requirements: Significant funding needs for AI/HPC expansion. GPU Supply: Hardware shortages and delivery delays. Competition: Larger, established AI/HPC competitors.

About the analysts

Sid Rajeev, B.Tech, MBA, CFA — Head of Research, Fundamental Research Corp.

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Disclaimers and Disclosure

Fundamental Research Corp. Equity Rating Scale (ratings are not a recommendation to acquire, dispose of, or take no action regarding a security; the definitions of our ratings are explained below):

Buy – Fair value is 12% above the current market price; or risk and reward is favorable

Hold – Fair value is between 5% to 12% above the current market price

Sell – Fair value is 5% above, or less, than the current market value; or risk and reward is unfavorable

Suspended or Rating N/A— Coverage and ratings suspended until more information can be obtained from the company regarding recent events.

Fundamental Research Corp. Risk Rating Scale:

1 (Low Risk) - The company operates in an industry where it has a strong position (for example a monopoly, high market share etc.) or operates in a regulated industry. The future outlook is stable or positive for the industry. The company generates positive free cash flow and has a history of profitability. The capital structure is conservative with little or no debt.

2 (Below Average Risk) - The company operates in an industry where the fundamentals and outlook are positive. The industry and company are relatively less sensitive to systematic risk than companies with a Risk Rating of 3. The company has a history of profitability and has demonstrated its ability to generate positive free cash flows (though current free cash flow may be negative due to capital investment). The company’s capital structure is conservative with little to modest use of debt.

3 (Average Risk) - The company operates in an industry that has average sensitivity to systematic risk. The industry may be cyclical. Profits and cash flow are sensitive to economic factors although the company has demonstrated its ability to generate positive earnings and cash flow. Debt use is in line with industry averages, and coverage ratios are sufficient.

4 (Speculative) - The company has little or no history of generating earnings or cash flow. Debt use is higher. These companies may be in start-up mode or in a turnaround situation. These companies should be considered speculative.

5 (Highly Speculative) - The company has no history of generating earnings or cash flow. They may operate in a new industry with new, and unproven products. Products may be at the development stage, testing, or seeking regulatory approval. These companies may run into liquidity issues and may rely on external funding. These stocks are considered highly speculative.

Definition of FRC’s Fair Value Estimate – Our fair value estimate is the theoretical value of the company’s equity using widely accepted methods of valuation such as discount cash flow or comparables. IT IS NOT A TARGET PRICE or PREDICTION OF THE FUTURE STOCK PRICE.

Disclaimers and Disclosure

Analyst Certification: The views expressed in this report accurately reflect the personal views of the analyst, and no part of their compensation was, is, or will be directly or indirectly related to the specific recommendation or views expressed.

Any “forward looking statements” are our best estimates and opinions based upon information that is publicly available and that we believe to be correct, but we have not independently verified with respect to truth or correctness. There is no guarantee that our forecasts will materialize. Actual results will likely vary. The analyst and Fundamental Research Corp. “FRC” do not own any shares of the subject company, do not make a market or offer shares for sale of the subject company, and do not have any investment banking business with the subject company. Fees ranging between $25,000 and $35,000 will be paid to FRC by Cango Inc. to commission this report, research coverage, and distribution of reports. This fee creates a potential conflict of interest which readers should consider. FRC takes steps to mitigate conflicts including setting fees in advance and utilizing analysts who must abide by CFA Institute Code of Ethics and Standards of Professional Conduct. Additionally, analysts may not trade in any security under coverage. Our full editorial control of all research, timing of release of the reports, and release of liability for negative reports are protected contractually. The issuer has agreed to a minimum coverage term and coverage cannot be unilaterally terminated. Distribution procedure: our reports are distributed first to our web-based subscribers on the date shown on this report then made available to delayed access users through various other channels for a limited time.

The distribution of FRC’s ratings are as follows: BUY (76%), HOLD (2%), SELL / SUSPEND (28%).

This report contains "forward looking" statements. Forward-looking statements regarding the Company and/or stock’s performance inherently involve risks and uncertainties that could cause actual results to differ from such forward-looking statements. Factors that would cause or contribute to such differences include, but are not limited to, continued acceptance of the Company's products/services in the marketplace; acceptance in the marketplace of the Company's new product lines/services; competitive factors; new product/service introductions by others; technological changes; dependence on suppliers; systematic market risks and other risks discussed in the Company's periodic report filings, including interim reports, annual reports, and annual information forms filed with the various securities regulators. By making these forward-looking statements, Fundamental Research Corp. and the analyst/author of this report undertakes no obligation to update these statements for revisions or changes after the date of this report. A report initiating coverage will most often be updated quarterly while a report issuing a rating may have no further or less frequent updates because the subject company is likely to be in earlier stages where nothing material may occur quarter to quarter.

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