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Brazil Potash Corp (GRO) Fair Value & Analysis

Basic Materials · US · Market cap $138M

Price$2.13
Fair Value$0.4100
Upside-80.8%
Quality95/100
Evidence: Low Range $0.2700 – $0.5100

Fair value as of: Jun 25, 2026

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Analysis

Brazil Potash Corp (GRO) currently trades at $2.13, while our model-based Fair Value estimate is $0.4100 — implying the stock looks roughly 80.8% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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

Brazil Potash Corp. engages in the exploration and development of potash properties in Brazil. The company holds interest in the Autazes project, a potash deposit located in the state of Amazonas, Brazil. Brazil Potash Corp. was incorporated in 2006 and is headquartered in Toronto, Canada.

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Frequently asked questions

Is Brazil Potash Corp (GRO) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $0.4100 versus a price of $2.13 — about −81% (overvalued). Model-based estimate, not financial advice.
What is the fair value of GRO?
Our 21-model fair value for Brazil Potash Corp is $0.4100 (as of Jun 25, 2026), built from audited fundamentals. The current price is $2.13.
What is the quality score of GRO?
Brazil Potash 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.