AppFolio, Inc (APPF) Fair Value & Analysis
Technology · US · Market cap $6.0B
Fair value as of: Jun 24, 2026
Analysis
AppFolio, Inc (APPF) currently trades at $146.56, while our model-based Fair Value estimate is $98.92 — implying the stock looks roughly 32.5% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
AppFolio, Inc., together with its subsidiaries, provides cloud-based platform for the real estate industry in the United States. The company provides a cloud-based platform that assist with accounting, reporting, marketing, leasing, maintenance, workflow automation, and communication services. It offers AppFolio Property Manager Core, a platform that provides the accounting functionalities for small property management companies, as well as serves as a system of record; AppFolio Property Manager Plus, which offers affordable housing and student housing, advanced accounting, advanced data analysis, and read-only API access services; and AppFolio Property Manager Max that provides customer relationship management tools and full database access through a read and write application programming interface services. The company also provides value-added services, such as electronic payment, tenant screening, maintenance, business optimization, resident, and risk mitigation services. It ser…
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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.