Intellinetics, Inc (INLX) Fair Value & Analysis
Technology · US · Market cap $26.4M
Fair value as of: Jun 24, 2026
Analysis
Intellinetics, Inc (INLX) currently trades at $5.87, while our model-based Fair Value estimate is $7.60 — implying the stock looks roughly 29.5% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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
Intellinetics, Inc. designs, develops, tests, markets, and licenses document services and software solutions in the United States. The company operates through two segments, Software and Document Conversion. The company's software platform allows its customers to capture and manage documents across operations, such as scanned hard-copy documents and digital documents, including Microsoft Office 365, digital images, audio, videos, and emails. Its flagship software suite includes IntelliCloud platform that comprises image processing modules, accounts payable lifecycle automation, records management, workflow, and extended components; and YellowFolder, a specialized content management software solution for the K-12 education market. The company also provides installation, integration, training, and consulting services; ongoing software maintenance and customer support services; and digital scanning, microfilm and microfiche conversion, box storage, and repair and maintenance services, …
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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.