ICF International, Inc (ICFI) Fair Value & Analysis
Industrials · US · Market cap $1.2B
Analysis
ICF International, Inc (ICFI) currently trades at $67.61, while our model-based Fair Value estimate is $97.00 — implying the stock looks roughly 43.5% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high) — always confirm before acting.
About the company
ICF International, Inc. provides management, technology, and policy consulting and implementation services to government and commercial clients in the United States and internationally. The Company provides consulting and technology services across several key domains, such as strategy and public policy; energy and environmental sustainability; and climate resilience; digital transformation including information technology; modernization, cloud, cybersecurity, and data analytics; health and social programs including public health and education; international development and capacity building; disaster management and recovery planning; transportation, aviation, and infrastructure; and marketing and strategic communications. The company serves energy, environment, infrastructure, and disaster recovery; health and social programs; and security and other civilian and commercial markets; U.S. federal government departments and agencies, local government departments and agencies, internat…
Open the full interactive analysis →
Similar stocks
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.