HA Sustainable Infrastructure Capital, Inc (HASI) Fair Value & Analysis
Financial Services · US · Market cap $5.2B
Analysis
HA Sustainable Infrastructure Capital, Inc (HASI) currently trades at $39.10, while our model-based Fair Value estimate is $24.55 — implying the stock looks roughly 37.2% overvalued today. We read business quality at 94/100 (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: high).
About the company
HA Sustainable Infrastructure Capital, Inc., through its subsidiaries, engages in the investment in energy efficiency, renewable energy, and other sustainable infrastructure markets in the United States. The company's portfolio includes equity investments, receivables, and debt securities. It invests in climate solutions, including Behind-the-Meter that distributes energy projects which reduce energy cost or usage that distributes energy projects which reduce energy; Grid-Connected, a renewable energy projects that deploy cleaner energy sources, such as solar, solar-plus-storage, and wind, to generate cleaner, lower cost energy; and Fuels, Transport, and Nature, a range of infrastructure assets that are designed to reduce emissions and/or provide environmental benefits in projects beyond the power grid, such as transportation and fuels, including renewable natural gas (RNG) plants, transportation fleet enhancements, and ecological restoration, and other projects. The company was for…
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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.