Frontdoor, Inc (FTDR) Fair Value & Analysis
Consumer Cyclical · US · Market cap $4.4B
Analysis
Frontdoor, Inc (FTDR) currently trades at $73.21, while our model-based Fair Value estimate is $74.15 — implying the stock looks roughly 1.3% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: high) — always confirm before acting.
About the company
Frontdoor, Inc. provides home warranties and new home builder warranties in the United States. The company offers customizable home warranties that help customers to protect and maintain their homes from costly and unplanned breakdowns of essential home systems and appliances. Its home warranty customers subscribe to an annual service plan agreement that covers the repair or replacement of principal components of home systems and appliances, including electrical, plumbing, water heaters, refrigerators, dishwashers, and ranges/ovens/cooktops, as well as pools, spas, and pumps; and heating, ventilation, and air conditioning systems. It also offers non-warranty home services through website and application; a one-stop app experience for home repair and maintenance using video chat, augmented reality, and computer vision and machining learning. The company operates under the American Home Shield, HSA, OneGuard, Landmark, and 2-10 HBW brand names. Frontdoor, Inc. was founded in 1971 and …
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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.