Offerpad Solutions Inc (OPAD) Fair Value & Analysis
Real Estate · US · Market cap $24.0M
Fair value as of: Jun 26, 2026
Analysis
Offerpad Solutions Inc (OPAD) currently trades at $4.38, while our model-based Fair Value estimate is $4.99 — implying the stock looks roughly 14.0% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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: low) — always confirm before acting.
About the company
Offerpad Solutions Inc., together with its subsidiaries, provides a technology-enabled real estate solutions platform in the United States. It operates through Cash Offer, Renovate, and Other segments. The company offers Cash Offer, which allows customers to access the company's website or mobile application to receive a cash offer range for their home; and renovation services to other businesses. It also provides a Cash Offer Marketplace, including Direct+ partners, which provide buyers with an opportunity to purchase homes from homeowners; and brokerage services, which allow sellers to select from different agent-led pathways to sell their home. In addition, the company offers HomePro, which pairs local agents with its platform, data, and customer flow to deliver guided and in-person services; and the Agent Partnership Program, which allows third-party agents to present a cash offer to customers. Further, it provides ancillary products and services comprising energy efficiency sol…
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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.