DLH Holdings (DLHC) Fair Value & Analysis
Industrials · US · Market cap $78.8M
Fair value as of: Jun 24, 2026
Analysis
DLH Holdings (DLHC) currently trades at $5.52, while our model-based Fair Value estimate is $5.06 — implying the stock looks roughly 8.3% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
DLH Holdings Corp. provides technology-enabled business process outsourcing, program management solutions, and public health research and analytics services in the United States. It offers digital transformation and cyber security solutions, including artificial intelligence and machine learning, cloud enablement, cybersecurity ecosystem, big data analytics, and modeling and simulation to the National Institutes of Health (NIH), Defense Health Agency (DHA), US Army Medical Research and Development Command (MRDC), and US Navy. The company also provides science research and development services and solutions, such as data analytics, testing and evaluation, clinical trials research services, and epidemiology studies to support multiple operating divisions, including NIH and the Center for Disease Control and Prevention, as well as the Military Health System. In addition, it offers systems engineering and integration solutions in the areas of command, control, communications, computers,…
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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.