Questerre Energy Corporation (QEC) Fair Value & Analysis
Energy · NO · Market cap 818M NOK
Fair value as of: Jun 24, 2026
Analysis
Questerre Energy Corporation (QEC) currently trades at kr 1.76, while our model-based Fair Value estimate is kr 0.3100 — implying the stock looks roughly 82.4% 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: medium).
About the company
Questerre Energy Corporation, an energy technology and innovation company, engages in the acquisition, exploration and development of oil and gas projects in Canada. It is also involved in non-conventional projects, such as tight oil, oil shale, shale oil, and shale gas. In addition, the company holds a 25% working interest in 10,080 acres in Kakwa Central; a 50% working interest in 4,480 acres in Kakwa North; a 50% interest in 22,040 acres in Kakwa West; a 50% interest in 3,840 acres in Kakwa South in Canada; and a 100% working interest in 14,730 acres located in Antler, Southeast Saskatchewan. Further, it is involved in oil shale mining located in Sao Mateus do Sul, Parana, Brazil and in the Uintah Basin in the state of Utah. The company was formerly known as Westpro Equipment Ltd. and changed its name to Questerre Energy Corporation in December 2000. Questerre Energy Corporation was incorporated in 1971 and is headquartered in Calgary, Canada.
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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.