Fairvalue-Calculator Fairvalue-Calculator
EN DE

MARA Holdings (MARA) Fair Value & Analysis

Financial Services · US · Market cap $5.4B

Price$14.00
Fair Value$6.10
Upside-56.4%
Quality95/100
Evidence: Low Range $4.55 – $9.11

Analysis

MARA Holdings (MARA) currently trades at $14.00, while our model-based Fair Value estimate is $6.10 — implying the stock looks roughly 56.4% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).

About the company

MARA Holdings, Inc. operates as an energy and digital infrastructure company in North America, the Middle East, Europe, and Latin America. The company leverages Bitcoin Mining and Artificial Intelligence compute to monetize excess energy and underutilized power, optimize power management across operations and support AI inference applications. The company was formerly known as Marathon Digital Holdings, Inc. and changed its name to MARA Holdings, Inc. in August 2024. MARA Holdings, Inc. was incorporated in 2010 and is based in Hallandale Beach, Florida.

Open the full interactive analysis →

Similar stocks

Huatai Securities Co (HTSC) -81% Morgan Stanley, a financial holding company, (MS) -35% The Goldman Sachs Group (GS) -72% The Charles Schwab Corporation (SCHW) +21% CITIC Securities Company (600030) +25% Banco BTG Pactual S.A (BPAC3) +27%

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.