Fairvalue-Calculator Fairvalue-Calculator
EN DE

PetroTal Corp (PTALF) Fair Value & Analysis

Energy · US · Market cap $322M

Price$0.3200
Fair Value$0.6700
Upside+109.4%
Quality95/100
Evidence: High Range $0.5000 – $0.8400

Fair value as of: Jun 25, 2026

Analysis

PetroTal Corp (PTALF) currently trades at $0.3200, while our model-based Fair Value estimate is $0.6700 — implying the stock looks roughly 109.4% undervalued today. We read business quality at 95/100 (high quality), in the Energy sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

PetroTal Corp. engages in the acquisition, exploration, appraisal, development, and production of oil and natural gas properties in Peru. Its flagship property is the 100%-owned Bretaña Norte oil field located within Block 95 in the Marañón Basin of northern Peru. The company was formerly known as Sterling Resources Ltd. and changed its name to PetroTal Corp. in June 2018. PetroTal Corp. is headquartered in Houston, Texas.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is PetroTal Corp (PTALF) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $0.6700 versus a price of $0.3200 — about +109% (undervalued). Model-based estimate, not financial advice.
What is the fair value of PTALF?
Our 21-model fair value for PetroTal Corp is $0.6700 (as of Jun 25, 2026), built from audited fundamentals. The current price is $0.3200.
What is the quality score of PTALF?
PetroTal Corp 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.