CLPS Incorporation, through its subsidiaries, (CLPS) Fair Value & Analysis
Technology · US · Market cap $29.6M
Fair value as of: Jun 25, 2026
Analysis
CLPS Incorporation, through its subsidiaries, (CLPS) currently trades at $0.9400, while our model-based Fair Value estimate is $2.48 — implying the stock looks roughly 163.8% undervalued today. We read business quality at 93/100 (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: low) — always confirm before acting.
About the company
CLPS Incorporation, through its subsidiaries, provides information technology services and solutions in Mainland China, Singapore, Hong Kong, the United States, Japan, India, and internationally. It operates in two segments, IT Services and Academic Education Services. The company offers IT consulting services for banking, including system implementation, testing, and enhancement for various functions; service package, such as planning, development, optimization, software quality assurance, and IT staffing; and fintech solutions comprising integrated development, mainframe and open platform integration, mobile apps, quality management, cloud, and big data solutions. It also provides credit card solutions, which include credit card applications, account setup, authorization and activation, settlement, collection, promotion, point systems, anti-fraud, statement, reporting, and risk management; architecture consulting services for core banking systems, and online and mobile banking; an…
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Frequently asked questions
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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.