Koil Energy Solutions, Inc (KLNG) Fair Value & Analysis
Energy · US · Market cap $33.2M
Fair value as of: Jun 24, 2026
Analysis
Koil Energy Solutions, Inc (KLNG) currently trades at $2.69, while our model-based Fair Value estimate is $1.32 — implying the stock looks roughly 50.9% overvalued today. We read business quality at 95/100 (high quality), in the Energy 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
Koil Energy Solutions, Inc., an energy services company, provides equipment and support services to the energy and offshore industries worldwide. It designs, manufactures, fabricates, inspects, assembles, tests, and installs subsea distribution equipment. The company offers engineering and project management services, including the design, installation, and retrieval of subsea equipment and systems; connection and termination operation services; well-commissioning services; and construction support services. It also engages in project management and engineering; spooling; testing and commissioning; storage management; and refurbishment and repurposing of recovered subsea equipment, as well as provides support services for offshore interventions. In addition, the company offers loose steel tube flying lead and umbilical hardware products, as well as riser isolation valves and subsea isolation valve systems. Further, it provides installation aids, including flying lead installation sy…
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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.