Compass Diversified (CODI) Fair Value & Analysis
Industrials · US · Market cap $804M
Analysis
Compass Diversified (CODI) currently trades at $10.15, while our model-based Fair Value estimate is $12.70 — implying the stock looks roughly 25.1% undervalued today. We read business quality at 89/100 (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: medium) — always confirm before acting.
About the company
Compass Diversified is a private equity firm specializing in add on acquisitions, buyouts, industry consolidation, recapitalization, late stage, and middle market investments. It seeks to invest in leading industrial or branded consumer companies, textiles, Apparel and Luxury goods, trading companies and distributors, manufacturing, distribution, consumer discretionary, commercial services and supplies, consumer products, capital good, Leisure Product, consumer service, consumer staples, household durables, business services sector, infrastructure healthcare, safety & security, electronic components, food, and foodservice. The firm prefers to invest in companies based in North America. It seeks to invest between $80 million to$800 million and EBITDA starting from $10 million per annum. It seeks to acquire controlling ownership interests in its portfolio companies and can make additional platform acquisitions. The firm prefer to have controlled and majority stake in companies. The fi…
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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.