Equus Total Return, Inc (EQS) Fair Value & Analysis
Financial Services · US · Market cap $16.9M
Analysis
Equus Total Return, Inc (EQS) currently trades at $1.23, while our model-based Fair Value estimate is $0.4000 — implying the stock looks roughly 67.5% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services 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: low).
About the company
Equus Total Return, Inc. is a business development company (BDC) specializing in leveraged buyouts, management buyouts, corporate partnerships/joint ventures, growth and expansion capital, acquisition financing, roll-up acquisition strategies, operational turnarounds, recapitalizations of existing businesses, special situations, equity and equity-oriented securities issued by privately owned companies, debt securities including subordinate debt, debt convertible into common or preferred stock, or debt combined with warrants and common and preferred stock, and preferred equity financing. It invests in middle market companies and acts as a lead investor. It invests in technology, telecommunication, financial services, natural resource and industrial manufacturing and services. It invests in companies engaged in the alternative energy, real estate, healthcare, education, e-learning, leisure and entertainment, and foreign investment sector in the United States, China, India, and Europe.…
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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.