Marathon Digital Holdings, Inc.

Marathon Digital Holdings, Inc. (MARA) Market Cap

Marathon Digital Holdings, Inc. has a market capitalization of .

No quote data available.

CEO: Frederick G. Thiel

Sector: Financial Services

Industry: Financial - Capital Markets

IPO Date: 2012-05-04

Website: https://www.marathondh.com

Marathon Digital Holdings, Inc. (MARA) - Company Information

Market Cap: -|Sector: Financial Services

Company Profile

Marathon Digital Holdings, Inc. operates as a digital asset technology company that mines cryptocurrencies with a focus on the blockchain ecosystem and the generation of digital assets in United States. As of December 31, 2021, it had approximately 8,115 bitcoins, which included the 4,794 bitcoins held in the investment fund. The company was formerly known as Marathon Patent Group, Inc. and changed its name to Marathon Digital Holdings, Inc. in February 2021. Marathon Digital Holdings, Inc. was incorporated in 2010 and is headquartered in Las Vegas, Nevada.

Analyst Sentiment

68%
Buy

From 13 Active Polls

1Y Forecast: $12.50

▲ +0.0% Potential Upside

Consensus Target Metrics

Low Bound

$7

Median

$13

High Bound

$17

Average

$13

Price & Moving Averages

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🎯 Wall Street Analyst Intelligence Report

1-Year structural target targets, chart projections, and sentiment maps.

Average 1Y Target
$12.50
▲ +1.46% Upside
Low Target
$7.00
-43% Risk
Median Target
$13.00
6% Mid
High Target
$17.00
38% Max

Consensus Trend Projection

Trailing closures vs. 12-month metrics map.

Analyst Vote Distribution

Aggregate institutional coverage sentiment weights.

Sentiment volume allocation data unavailable.

Historical valuation matrix unavailable.

📘 Full Research Report

ℹ️

AI-Generated Research: This report is for informational purposes only.

📘 MARA HOLDINGS INC (MARA) — Investment Overview

🧩 Business Model Overview

MARA is a cryptocurrency mining operator focused primarily on securing the Bitcoin network through proof-of-work computation. The company converts capital into mining capacity (ASIC rigs housed in industrial facilities), then monetizes that capacity through: (i) block rewards (subsidy + network-issued value) and (ii) transaction fees, received in proportion to the firm’s share of network hashing power.

The operational “value chain” is straightforward: procure and deploy mining hardware → secure and operate power-intensive facilities → manage uptime, thermals, and maintenance → receive mining proceeds and manage inventory/treasury (typically holding a portion of mined Bitcoin). Customer stickiness is not a classic “account” model; instead, economic stickiness arises from cumulative capex, operational know-how, and—most importantly—access to competitive power and facility capacity.

💰 Revenue Streams & Monetisation Model

Mining revenue is predominantly a function of (1) the Bitcoin network’s issuance mechanics (block subsidy and transaction fees) and (2) MARA’s realized mining output, which depends on installed hash rate, fleet efficiency, and uptime.

Margin drivers are largely cost-side and operational:

  • Power cost per unit of hashing: electricity is the dominant input; the spread between the firm’s effective power rate and peers’ effective rates tends to drive profitability.
  • Fleet efficiency and downtime: hash rate per machine, cooling/thermal stability, maintenance execution, and deployment speed affect the amount of productive hashing.
  • Miner technology cadence: next-generation ASICs can improve output efficiency, but introduce capex and integration risk.
  • Treasury policy and sale discipline: how mined Bitcoin is held versus sold influences realized financial results and balance sheet volatility.

Revenue is therefore highly sensitive to network-wide variables and BTC market conditions, while survivability over time is closely tied to sustaining low all-in costs (especially power) and maintaining reliable uptime.

🧠 Competitive Advantages & Market Positioning

Bitcoin mining is not a “winner-takes-all” business, but the industry exhibits persistent cost and execution advantages. MARA’s competitive positioning is best understood through geographic cost advantage and logistical/operational infrastructure (primarily access to industrial power in North America) rather than software-like moats.

  • Low-cost power access (geographic cost advantage): Mining profitability hinges on effective electricity rates net of operational realities (contract structure, demand charges, curtailment risk, and facility utilization).
  • Facility buildout and hosting scale (infrastructure moat): Execution capability in securing sites, connecting to power, and scaling throughput can create a practical barrier because capacity additions require time, permitting, interconnection, and large working-capital cycles.
  • Operational excellence (cost and uptime discipline): Efficient deployment, maintenance, and thermal management translate into better realized hashing output per installed machine.

Competitive benchmarking (public peers):

  • Riot Platforms (RIOT): Similar mining exposure with extensive capacity buildout; competition centers on power economics and speed of capacity ramp.
  • CleanSpark (CLSK): Also focused on scaling hash rate; relative advantage often comes from effective power costs and deployment efficiency.
  • Hut 8 (HUT) (and peers in Canada/elsewhere): Geographic and contracting differences can materially change effective energy costs and operational constraints versus North American operators.

MARA vs. rivals: The competitive difference tends to be less about “brand” and more about power economics, facility execution, and realized fleet efficiency. Where rivals have advantageous energy arrangements or faster interconnection/rollout, mining economics can swing materially.

🚀 Multi-Year Growth Drivers

Over a 5–10 year horizon, the investable drivers are tied to the growth of Bitcoin network usage and the mining supply/demand balance for compute. Key themes:

  • Bitcoin network participation: Increased economic activity and adoption support higher transaction activity over time, which can contribute to fee revenue that complements block rewards.
  • Hash rate and capacity expansion cycles: Mining operators grow through successive facility additions and hardware refreshes, constrained by power availability, interconnection timelines, and capital deployment discipline.
  • Energy efficiency improvements: ASIC efficiency gains, better cooling strategies, and operational refinements lower cost per hash and improve resilience through mining margin compression cycles.
  • Scale benefits in procurement and operations: Larger fleets can improve negotiating leverage for hardware supply and enable more consistent maintenance scheduling and process standardization, supporting lower per-unit operational friction.
  • Potential treasury/tactical flexibility: A mining model that can hold and deploy mined Bitcoin strategically can add optionality during market dislocations, though it is not a guarantee of value creation.

TAM is defined less by “customers” and more by the total addressable economics of securing the Bitcoin network—bounded by available capital, power, and the competitive landscape of installed hashing capacity.

⚠ Risk Factors to Monitor

  • Bitcoin price and mining revenue volatility: Block-related revenue is exposed to BTC market conditions and network issuance dynamics, producing financial volatility even if operational performance holds steady.
  • All-in cost inflation (especially power): Electricity rates, demand charges, contract terms, and grid curtailment risk can compress margins without a corresponding improvement in mining output.
  • Halving and fee dynamics: Protocol-driven changes to block subsidies can pressure revenue per unit of hash until fee revenue offsets part of the impact.
  • Capital intensity and execution risk: Rapid capacity buildouts require disciplined project management (construction, interconnection, equipment installation) and can strain balance sheets if financing conditions tighten.
  • Technological disruption: ASIC generation transitions can render hardware economically obsolete; integration timelines and procurement execution can determine realized returns.
  • Regulatory and ESG constraints: Rules affecting energy sourcing, reporting, emissions, and cryptocurrency activity can vary by jurisdiction and can alter operating or expansion options.
  • Security and operational reliability: Custody practices, cyber risk, and downtime due to mechanical or thermal events can reduce revenue and increase cost per productive hash.

📊 Valuation & Market View

Equity valuation for Bitcoin miners typically reflects mining economics rather than traditional earnings power:

  • Market focus on cost and output metrics: valuation sensitivity often tracks cost per hash, fleet efficiency, uptime, and the credibility of expansion plans.
  • Enterprise value frameworks can be distorted by commodity exposure: financial results are intertwined with BTC price, making earnings-based multiples less stable across cycles.
  • Key drivers moving the needle: (1) effective power pricing, (2) the pace and certainty of capacity additions, (3) hardware efficiency cycles, and (4) balance sheet and treasury strategy (including the willingness/ability to hold BTC).

Institutional investors generally underwrite these businesses like “cost-advantaged industrials with embedded commodity exposure,” where sustaining low all-in costs is the central determinant of long-run equity value.

🔍 Investment Takeaway

MARA’s long-term thesis rests on whether it can sustain low effective electricity costs and execute scale-capacity expansion with operational reliability in a technologically fast-moving, capital-intensive environment. The strongest structural advantage available to miners is not a switching-cost or network-effect moat, but an infrastructure-and-cost moat anchored in power economics and deployment execution. Competitive outcomes depend on maintaining that cost-position relative to peers while managing hardware transitions and capital needs through cycles of BTC price volatility and mining margin compression.


⚠ AI-generated — informational only. Validate using filings before investing.

📊 AI Financial Analysis

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Earnings Data: Q Ending 2026-03-31

"MARA reported Q1 2026 revenue of $174.6M, with EPS of -$3.31 and net income of -$1.26B (net margin -7.21%). On a YoY basis, revenue fell from $213.9M in Q1 2025 to $174.6M (-18.4%). Net income deteriorated sharply from -$533.2M in Q1 2025 to -$1.26B in Q1 2026 (about -136% worse). QoQ, revenue declined from $202.3M in Q4 2025 to $174.6M (-13.7%), and net income worsened from -$1.71M to -$1.26B (less negative by ~26%; however profitability is still deeply impaired). Profitability was volatile across the last four quarters, shifting from strong profitability in Q2/Q3 2025 (positive net margins) to losses in Q4 2025 and again in Q1 2026. Operating results remain significantly negative, with Q1 2026 operating income effectively absent in the provided statement line items and large below-the-line losses. Cash flow quality remains mixed: operating cash flow was -$247.5M and free cash flow was -$327.0M in Q1 2026, following positive operating cash flow in Q4 2025. Balance sheet resilience looks improved in liquidity terms, with cash and cash equivalents of $513.7M (down from $547.1M QoQ) and net debt of about -$463.0M (net cash position per provided figures). Total shareholder return has been weak on momentum: the stock is $11.6, with a 1-year change of -5.84% (no >20% positive momentum), and the company pays no dividend in the provided data; buyback activity in Q1 2026 appears nil."

Revenue Growth

Neutral

Revenue declined YoY (-18.4% from $213.9M to $174.6M) and QoQ (-13.7% from $202.3M to $174.6M), indicating contracting top-line momentum.

Profitability

Neutral

Q1 2026 net loss widened materially vs YoY (net income about -136% worse). Margins remain negative (net margin -7.21%) and are far below the prior profitable quarters in 2025.

Cash Flow Quality

Neutral

Operating cash flow was -$247.5M and free cash flow was -$327.0M in Q1 2026. This follows positive OCF in Q4 2025, showing deteriorating near-term cash generation.

Leverage & Balance Sheet

Fair

Liquidity improved relative to liabilities with a net cash position shown (netDebt -$463.0M). However, cash declined QoQ ($547.1M to $513.7M) and the balance sheet remains volatile across quarters.

Shareholder Returns

Caution

Price is $11.6 with 1y_change -5.84% and no dividend. Limited evidence of supportive buybacks in Q1 2026 lowers total-return strength.

Analyst Sentiment & Valuation

Caution

Consensus target ($16.13) is above the current price ($11.6), implying upside. Still, the high valuation uncertainty is consistent with earnings volatility and negative profitability.

Disclaimer:This analysis is AI-generated for informational purposes only. Accuracy is not guaranteed and this does not constitute financial advice.

Fundamentals Overview

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MARA’s Q1 2026 is less about incremental mining performance and more about repositioning the company into a power-controlled AI infrastructure platform. Revenue fell to $174.6M as Bitcoin averaged down 18%, and losses were dominated by unrealized digital-asset mark-to-market (every $10,000 BTC move ~ $350M). Operationally, energized hashrate reached 72.2 EH/s (+33%), rewards share rose to 5.5% (+70 bps), and owned cost remained highly competitive at $0.04/kWh. The strategic pivot centers on two monetization pathways: Starwood’s capital-efficient JV for large-scale hyperscale colocation and Exaion’s sovereign/private-cloud compute track. The Long Ridge deal is the near-term catalyst, adding ~505MW generation and a path to scale to >1GW, with ~200MW AI build-out targeted to start ~1H 2027 and mid-2028 initial capacity. Capital discipline is reinforced by retiring ~30% of convertible debt at a discount and selling ~$1.5B of BTC to repurchase >$1B face value of notes, reducing leverage without ATM issuance.

AI IconGrowth Catalysts

  • Long Ridge acquisition as an AI/HPC compute campus enabler with ~505MW combined-cycle gas turbine and path to scale Hannibal power to >1GW; initial AI build-out planned for ~200MW beginning ~1H 2027 and initial capacity mid-2028
  • Starwood JV moving from announcement to execution: advancing permitting/site prep and entering active tenant discussions across ~90% of MARA owned/operated sites, including Long Ridge
  • Exaion positioning for sovereign/enterprise/private-cloud AI compute in regulated markets (building on UAE/Finland and launch in Oman; active discussions in France, Brazil, Saudi Arabia)

Business Development

  • Long Ridge Energy & Power acquisition agreement (FTAÍ Infrastructure as seller; committed Barclays backstop; consent solicitation tied to Long Ridge change-of-control provision)
  • Starwood partnership/joint venture (Starwood described as having developed/built 7GW+ data center capacity; JV intended to sign multiple tenant leases by year-end)
  • Exaion partnership/customer discussions with major energy companies in France, Brazil, Saudi Arabia (names not provided); ongoing build in UAE and Finland; launch in Oman

AI IconFinancial Highlights

  • Revenue: $174.6M vs $213.9M prior year; decline driven by 18% decrease in Bitcoin average price (revenue -$33.1M) and lower production (~$2.5M), plus other revenues -$3.7M
  • Hashrate: record energized hashrate 72.2 EH/s, +33% YoY (54.3 EH/s in Q1 2025), supported by ~2.4 EH/s new generation ASIC deployment at favorable pricing
  • Mining rewards share: 5.5% vs 4.8% in Q4 2025 (+70 bps). Production: 2,247 BTC (25 BTC/day), ~39 fewer BTC YoY due to higher network difficulty partly offset by higher hashrate
  • Net loss: $1.3B ($3.31 loss per diluted share) vs $533.4M ($1.55 loss per diluted share) prior year; ~ $1B driven by unrealized mark-to-market fair value adjustment for digital assets
  • Adjusted EBITDA: negative $1.0B vs negative $483.6M prior year; denominated/dominated by Bitcoin mark-to-market change
  • Owned mining cost per kilowatt hour: $0.04 in Q1 2026; purchased energy cost per Bitcoin: $40,047 vs $35,728 YoY; daily cost per petahash per day: $27.6, improved 3% YoY (and improved 42% over past 11 quarters)
  • G&A: excluding stock-based comp, $57.7M vs $36.9M prior year; includes $11M acquisition/integration costs; headcount reduced by 15% with $12M annualized savings and $45.9M restructuring charge

AI IconCapital Funding

  • Convertible debt: retired ~30% of outstanding convertibles at a discount; CFO noted potential dilution reduction of ~46M shares (~9% fully diluted basis)
  • Overall debt reduction: retired ~33% of outstanding debt during the quarter
  • Bitcoin sales and funding use: sold ~$1.5B of Bitcoin; used to repurchase >$1B face value of 2030/2031 notes at a discount; reduced line of credit by $200M
  • Line of credit refinancing: $150M at 7% interest vs 10.5% previously
  • ATM program: no usage since end of Q3 2025
  • Long Ridge pro forma financing: $400M term loan expected repaid at closing; consent solicitation for $600M secured notes; Can-Am $115M expected remain; pro forma debt ~ $900M vs $1.1B previously; ~$185M tack-on secured notes expected; $785M commitment letter with Barclays bridge backstop
  • Bitcoin holdings: 35,303 BTC end of quarter (down 12,228 vs prior year); ~28% of holdings loaned/pledged as collateral; ~ $6.4M Q1 interest income from loaned BTC

AI IconStrategy & Ops

  • Organizational realignment: reduced workforce by 15% (annualized savings $12M) and incurred $45.9M restructuring charge for elimination of certain initiatives; expect quarterly G&A run-rate (ex-SBC and ex-acquisition integration) below Q1 level
  • Power strategy: continued Hannibal Bitcoin mining operations without interruption until data center campus requires power; MARA does not expect to reduce Long Ridge power into PJM grid; incremental demand behind-the-meter to be paired with incremental generation over time
  • Fleet expansion: 2.4 EH/s of new ASIC miners deployed in quarter at favorable pricing; operational discipline emphasized

AI IconMarket Outlook

  • Starwood JV: expectation to sign multiple tenant leases by year-end; will disclose contracted megawatts as pipeline converts
  • Long Ridge AI build-out: initial ~200MW AI build-out beginning around first half of 2027; initial capacity online mid-2028

AI IconRisks & Headwinds

  • Bitcoin price pressure: Q1 impacted by macro uncertainty and risk-asset pressure; each $10,000 BTC move ~ $350M impact on fair value (unrealized) and dominated net loss/adjusted EBITDA variability
  • Mining economics pressure: acknowledged continued pressure reflected in Q1 results despite higher hashrate
  • Operational/transaction execution risk: regulatory approvals and Long Ridge debt-holder consent solicitation needed for change-of-control waiver; financing depends on cash/Bitcoin-backed borrowings and potentially additional BTC sale proceeds depending on market conditions
  • Demand timing uncertainty: reliance on signing and contracting tenant megawatts (Starwood) and building AI campus capacity on schedule

Q&A: Analyst Interest

  • Topic: Strategy balance between commercializing existing sites vs acquiring new capacity (Long Ridge) — Management’s detailed response: Long Ridge is characterized as a long-planned transaction linked to Hannibal’s original intention for a much larger data center facility. Going forward, management emphasized a dual approach: small “tuck-ins” to convert modular sites, plus larger campus acquisitions/land-and-power deals executed with Starwood as a de-risking partner.
  • Topic: Inference vs training demand mix from tenant prospects — Management’s detailed response: Management framed hyperscalers as having both training and inference, but expects training to continue growing for ~6–7 years while inference volumes rise sharply with agentic tools. They described emerging “token factory” private-cloud needs (Exaion) for air-gapped, latency-sensitive inference and reduced public-cloud token bills.
  • Topic: G&A increase versus headcount reductions and Starwood outsourcing — Management’s detailed response: Management attributed G&A elevation to scaling operations and pipeline-focused reorganization announced in Q1. They highlighted continued emphasis on core capabilities like securing $0.04/kWh low-cost power at scale (~2GW). The response was cut off in the provided transcript.

Sentiment: MIXED

Note: This summary was synthesized by AI from the MARA Q1 2026 earnings transcript. Financial data is complex; please verify all metrics against official SEC filings before making investment decisions.

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© 2026 Stock Market Info — Marathon Digital Holdings, Inc. (MARA) Financial Profile