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Fortran Corporation (FRTN) Fair Value & Analysis

Communication Services · US · Market cap $1.7M

Price$0.1100
Fair Value$0.1600
Upside+45.5%
Quality92/100
Evidence: High Range $0.1200 – $0.4500

Fair value as of: Jun 26, 2026

Analysis

Fortran Corporation (FRTN) currently trades at $0.1100, while our model-based Fair Value estimate is $0.1600 — implying the stock looks roughly 45.5% undervalued today. We read business quality at 92/100 (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

Fortran Corporation, through its subsidiaries, engages in the sales, installation, and service of telecommunication systems. It provides communication solutions designing, sourcing, implementing, and maintenance services. Fortran Corporation was formerly known as Burke Mills Inc. and changed its name to Fortran Corporation in February 2013. Fortran Corporation was incorporated in 1948 and is headquartered in Hickory, North Carolina.

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Frequently asked questions

Is Fortran Corporation (FRTN) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.1600 versus a price of $0.1100 — about +45% (undervalued). Model-based estimate, not financial advice.
What is the fair value of FRTN?
Our 21-model fair value for Fortran Corporation is $0.1600 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.1100.
What is the quality score of FRTN?
Fortran Corporation has a Quality Score of 92/100, 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.