Linklogis Inc (LNKLF) Fair Value & Analysis
Technology · US · Market cap $490M
Analysis
Linklogis Inc (LNKLF) currently trades at $0.2430, while our model-based Fair Value estimate is $0.4500 — implying the stock looks roughly 85.2% 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
Linklogis Inc., an investment holding company, provides supply chain finance technology and data-driven emerging solutions in the People's Republic of China and internationally. It operates in four segments: Supply Chain Finance Technology Solutions - Anchor Cloud; Supply Chain Finance Technology Solutions - FI Cloud; Emerging Solutions - Cross-border Cloud; and Emerging Solutions - SME Credit Tech Solutions. The Anchor Cloud segment includes AMS Cloud, Linklogis supply chain multi-tier transfer cloud, and supply chain asset securitization solutions. Its FI Cloud segment offers solutions that digitalize, automate, and streamline financial institutions supply chain financing services, including eChain Cloud and ABS Cloud. The Cross-border Cloud segment provides solutions that help corporates and financial institutions engaging in cross-border trade activities. Its SME Credit Tech Solutions segment, comprises data-driven risk analytics solutions, including AI solutions for supply chai…
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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.