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The Detroit Legal News Company (DTRL) Fair Value & Analysis

Communication Services · US · Market cap $10.6M

Price$280.00
Fair Value$1,023
Upside+265.4%
Quality90/100
Evidence: High Range $767.31 – $1,279

Fair value as of: Jun 25, 2026

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Analysis

The Detroit Legal News Company (DTRL) currently trades at $280.00, while our model-based Fair Value estimate is $1,023 — implying the stock looks roughly 265.4% undervalued today. We read business quality at 90/100 (high quality), in the Communication 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

The Detroit Legal News Company engages in printing and publishing business. It is involved in provision of commercial printing services; and publishing of newspaper. The company was founded in 1895 and is based in Detroit, Michigan.

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Frequently asked questions

Is The Detroit Legal News Company (DTRL) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $1,023 versus a price of $280.00 — about +265% (undervalued). Model-based estimate, not financial advice.
What is the fair value of DTRL?
Our 21-model fair value for The Detroit Legal News Company is $1,023 (as of Jun 25, 2026), built from audited fundamentals. The current price is $280.00.
What is the quality score of DTRL?
The Detroit Legal News Company has a Quality Score of 90/100, 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.