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Winmill & Co (WNMLA) Fair Value & Analysis

Financial Services · US · Market cap $7.7M

Price$5.25
Fair Value$10.50
Upside+100.0%
Quality95/100
Evidence: High Range $7.88 – $13.12

Fair value as of: Jun 26, 2026

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Analysis

Winmill & Co (WNMLA) currently trades at $5.25, while our model-based Fair Value estimate is $10.50 — implying the stock looks roughly 100.0% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services 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

Winmill & Co. Incorporated, through its subsidiaries, provides investment management and distribution services for the mutual funds in the Midas Funds family. The company also offers shareholder and administrative services; and investment management services for the closed-end fund Foxby Corp. Winmill & Co. Incorporated was founded in 1974 and is based in Walpole, New Hampshire.

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Frequently asked questions

Is Winmill & Co (WNMLA) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $10.50 versus a price of $5.25 — about +100% (undervalued). Model-based estimate, not financial advice.
What is the fair value of WNMLA?
Our 21-model fair value for Winmill & Co is $10.50 (as of Jun 26, 2026), built from audited fundamentals. The current price is $5.25.
What is the quality score of WNMLA?
Winmill & Co 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.