Altisource Portfolio Solutions S.A (ASPS) Fair Value & Analysis
Real Estate · US · Market cap $76.7M
Fair value as of: Jun 26, 2026
Analysis
Altisource Portfolio Solutions S.A (ASPS) currently trades at $7.00, while our model-based Fair Value estimate is $2.43 — implying the stock looks roughly 65.3% overvalued today. We read business quality at 94/100 (high quality), in the Real Estate 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: medium).
About the company
Altisource Portfolio Solutions S.A. operates as an integrated service provider and marketplace for the real estate and mortgage industries in the United States. It operates through Servicer and Real Estate, and Origination segments. The Servicer and Real Estate segment offers property preservation and inspection, title insurance agency and settlement, real estate valuation, foreclosure trustee, residential and commercial construction inspection, risk mitigation, and residential real estate renovation services. This segment also provides Hubzu, an online real estate auction platform, as well as real estate brokerage and asset management services; Equator, a software-as-a-service technology to manage real estate owned and investor homes, short sales, foreclosure, bankruptcy, and eviction processes; Vendorly Invoice, a vendor invoicing and payment system; RentRange, a single and multi-family rental data, analytics, and rent-based valuation solution; REALSynergy, a commercial loan servi…
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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.