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Keweenaw Land Association, Limited (KEWL) Fair Value & Analysis

Basic Materials · US · Market cap $57.1M

Price$51.25
Fair Value$38.22
Upside-25.4%
Quality95/100
Evidence: Medium Range $28.67 – $47.78

Fair value as of: Jun 24, 2026

Analysis

Keweenaw Land Association, Limited (KEWL) currently trades at $51.25, while our model-based Fair Value estimate is $38.22 — implying the stock looks roughly 25.4% 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: medium).

About the company

Keweenaw Land Association, Limited operates as a mineral land management company. It owns, leases, and manages mineral rights in Michigan and Wisconsin. The company was founded in 1865 and is headquartered in Ironwood, Michigan.

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Frequently asked questions

Is Keweenaw Land Association, Limited (KEWL) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $38.22 versus a price of $51.25 — about −25% (overvalued). Model-based estimate, not financial advice.
What is the fair value of KEWL?
Our 21-model fair value for Keweenaw Land Association, Limited is $38.22 (as of Jun 24, 2026), built from audited fundamentals. The current price is $51.25.
What is the quality score of KEWL?
Keweenaw Land Association, Limited 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.