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Bonal International, Inc (BONL) Fair Value & Analysis

Industrials · US · Market cap $1.7M

Price$0.9900
Fair Value$1.71
Upside+72.7%
Quality95/100
Evidence: High Range $1.29 – $2.11

Fair value as of: Jun 24, 2026

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Analysis

Bonal International, Inc (BONL) currently trades at $0.9900, while our model-based Fair Value estimate is $1.71 — implying the stock looks roughly 72.7% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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

Bonal International, Inc., through its subsidiary, Bonal Technologies, Inc., provides sub-harmonic vibratory metal stress relief technology in the United States and internationally. Its products include Meta-Lax stress reliving equipment. It also offers consulting, training, program design, and metal stress relief services to various industries, including automotive, aerospace, mining, petroleum, shipbuilding, welding, machine tooling, plastic molding, racing, engine building, armament, and die casting. The company was incorporated in 1990 and is headquartered in Royal Oak, Michigan.

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Frequently asked questions

Is Bonal International, Inc (BONL) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $1.71 versus a price of $0.9900 — about +73% (undervalued). Model-based estimate, not financial advice.
What is the fair value of BONL?
Our 21-model fair value for Bonal International, Inc is $1.71 (as of Jun 24, 2026), built from audited fundamentals. The current price is $0.9900.
What is the quality score of BONL?
Bonal International, Inc 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.