Mammoth Energy Services, Inc (TUSK) Fair Value & Analysis
Industrials · US · Market cap $147M
Fair value as of: Jun 26, 2026
Analysis
Mammoth Energy Services, Inc (TUSK) currently trades at $2.72, while our model-based Fair Value estimate is $2.09 — implying the stock looks roughly 23.2% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Mammoth Energy Services, Inc. operates as an energy services company in the United States, Canada, and internationally. It operates in four segments: Well Completion Services, Infrastructure Services, and Natural Sand Proppant Services. The company offers hydraulic fracturing, sand hauling, water transfer, master services agreements. It also provides services on electric transmission and distribution, networks and substation facilities, such as engineering, design, construction, upgrade, maintenance, and repair of high voltage transmission line, substation and lower voltage overhead, and underground distribution systems; installs, maintains, and repair of commercial wiring; and storm repair and restoration services. In addition, the company mines, processes, and sells natural sand proppant; buys processed sand from suppliers on the spot market for resale; and provides logistics solutions to facilitate delivery of frac sand products. Further, it provides directional drilling services…
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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.