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Harvest Oil & Gas Corp (HRST) Fair Value & Analysis

Energy · US · Market cap $3.2M

Price$3.04
Fair Value$4.08
Upside+34.3%
Quality89/100
Evidence: Low Range $3.38 – $4.78

Fair value as of: Jun 25, 2026

Analysis

Harvest Oil & Gas Corp (HRST) currently trades at $3.04, while our model-based Fair Value estimate is $4.08 — implying the stock looks roughly 34.3% undervalued today. We read business quality at 89/100 (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: low) — always confirm before acting.

About the company

Harvest Oil & Gas Corp. intends to undertake the process of winding-up and returning capital to its shareholders. Previously, the company operated as an independent oil and natural gas company in the United States. Harvest Oil & Gas Corp. is based in Houston, Texas.

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Frequently asked questions

Is Harvest Oil & Gas Corp (HRST) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $4.08 versus a price of $3.04 — about +34% (undervalued). Model-based estimate, not financial advice.
What is the fair value of HRST?
Our 21-model fair value for Harvest Oil & Gas Corp is $4.08 (as of Jun 25, 2026), built from audited fundamentals. The current price is $3.04.
What is the quality score of HRST?
Harvest Oil & Gas Corp has a Quality Score of 89/100, 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.