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Forian Inc (FORA) Fair Value & Analysis

Healthcare · US · Market cap $67.8M

Price$2.67
Fair Value$4.29
Upside+60.7%
Quality95/100
Evidence: Medium Range $3.22 – $5.36

Fair value as of: Jun 24, 2026

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Analysis

Forian Inc (FORA) currently trades at $2.67, while our model-based Fair Value estimate is $4.29 — implying the stock looks roughly 60.7% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare 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: medium) — always confirm before acting.

About the company

Forian Inc. provides a suite of data management capabilities and proprietary information and analytics solutions to optimize and measure operational, clinical and financial performance. It develops commercial, real-world evidence (RWE), and market access solutions and proprietary data-driven insights. The company's subscription and services-based solutions serve the life sciences, pharmaceutical services, healthcare payer, and provider and financial services industries. Forian Inc. was founded in 2020 and is headquartered in Newtown, Pennsylvania. Forian Inc. operates as a subsidiary of 2025 Acquisition Company, LLC.

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Frequently asked questions

Is Forian Inc (FORA) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $4.29 versus a price of $2.67 — about +61% (undervalued). Model-based estimate, not financial advice.
What is the fair value of FORA?
Our 21-model fair value for Forian Inc is $4.29 (as of Jun 24, 2026), built from audited fundamentals. The current price is $2.67.
What is the quality score of FORA?
Forian 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.