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Kosmos Energy Ltd (KOS) Fair Value & Analysis

Energy · US · Market cap $1.5B

Price$2.30
Fair Value$1.60
Upside-30.4%
Quality95/100
Evidence: Low Range $1.20 – $2.00

Fair value as of: Jun 24, 2026

Analysis

Kosmos Energy Ltd (KOS) currently trades at $2.30, while our model-based Fair Value estimate is $1.60 — implying the stock looks roughly 30.4% 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

Kosmos Energy Ltd., a deepwater exploration and production company, engages in the exploration, development, and production of oil and natural gas properties. It has oil and gas production projects in offshore Ghana, Equatorial Guinea, Mauritania, Senegal, and the Gulf of America. The company was founded in 2003 and is headquartered in Dallas, Texas.

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Frequently asked questions

Is Kosmos Energy Ltd (KOS) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $1.60 versus a price of $2.30 — about −30% (overvalued). Model-based estimate, not financial advice.
What is the fair value of KOS?
Our 21-model fair value for Kosmos Energy Ltd is $1.60 (as of Jun 24, 2026), built from audited fundamentals. The current price is $2.30.
What is the quality score of KOS?
Kosmos Energy Ltd has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.