Alaris Equity Partners Income Trust (ADLRF) Fair Value & Analysis
Financial Services · US · Market cap $765M
Analysis
Alaris Equity Partners Income Trust (ADLRF) currently trades at $16.84, while our model-based Fair Value estimate is $23.79 — implying the stock looks roughly 41.3% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services 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
Alaris Equity Partners Income Trust is a private equity firm specializing in management buyouts, growth capital, lower & middle market, later stage, industry consolidation, growth capital, and mature investments. The firm does not invest in turnarounds and start-ups. It prefers to invest in the companies based in all industries except for those with a declining asset base, such as oil and gas resource companies, or any industry that carry the risk of obsolescence such as high tech and focuses on business services, professional services, information services, healthcare services, distribution & logistics, industrials, consulting services, consumer products and construction related services. The firm seeks to invest in companies raising capital for a partial liquidity, generational transfer, recapitalization, and growth and who do not want to give up control or chance the added risk that comes with high leverage levels. It prefers to invest in companies that are mostly individual or f…
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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.