Fastly, Inc (FSLY) Fair Value & Analysis
Technology · US · Market cap $3.1B
Analysis
Fastly, Inc (FSLY) currently trades at $16.66, while our model-based Fair Value estimate is $17.82 — implying the stock looks roughly 7.0% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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: medium) — always confirm before acting.
About the company
Fastly, Inc. operates an edge cloud platform for processing, serving, and securing its customer's applications in the United States, the Asia Pacific, Europe, and internationally. The edge cloud is a category of Infrastructure as a Service that enables developers to build, secure, and deliver digital experiences at the edge of the internet. The company offers network services to speed up and optimize the delivery of web and application traffic; content delivery network, such as dynamic site acceleration, origin shield, instant purge, surrogate keys, programmatic control, content compression, reliability features, fanout, domainr, modern protocols and performance services; staging environment; and video/ streaming solutions and services, including live streaming, live event monitoring, video on demand, cache reservation, and media shield. It also provides security solutions, such as DDoS protection, next-gen WAF, bot management, API and ATO protection, advanced rate limiting, privacy…
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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.