Nicola Mining Inc (NIM) Fair Value & Analysis
Basic Materials · CA · Market cap A$17.7M
Fair value as of: Jun 26, 2026
Analysis
Nicola Mining Inc (NIM) currently trades at A$0.0450, while our model-based Fair Value estimate is A$0.0923 — implying the stock looks roughly 105.0% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
Nicola Mining Inc. operates as a junior exploration company that engages in identification, acquisition, and exploration of mineral properties in Canada. It primarily explores for gold, silver, lead, zinc, copper, and other precious metals. The company's properties include New Craigmont Project; the Treasure Mountain Project; and the Dominion Creek Gold Property. It holds a 100% interest in the Treasure Mountain project comprising 31 continuous mineral claims covering 2,200 hectares, and 1 mineral lease covering an area of approximately 335 hectares located to the northeast of Hope, British Columbia; and holds 100% interest in the New Craigmont project consisting of 22 contiguous mineral claims covering approximately 10,800 hectares, and 10 mineral leases covering an area of approximately 347 hectares located in the Merritt, British Columbia. In addition, the company holds 50% interest in the Dominion Creek Property consisting 8 continuous mineral claims covering an area of 1,040 he…
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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.