SeaChange International, Inc (SEAC) Fair Value & Analysis
Technology · US · Market cap $8.4M
Fair value as of: Jun 25, 2026
Analysis
SeaChange International, Inc (SEAC) currently trades at $5.00, while our model-based Fair Value estimate is $9.16 — implying the stock looks roughly 83.2% undervalued today. We read business quality at 89/100 (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: low) — always confirm before acting.
About the company
SeaChange International, Inc. offers video delivery, advertising, streaming platforms, and emerging Free Ad-Supported Streaming TV (FAST) products and services that facilitate the aggregation, licensing, management and distribution of video and advertising content worldwide. It provides Operator TV Platform solutions including customer's current network with OTT video management solutions in a single deployment, digital video broadcasting - cable / quadrature amplitude modulation networks with OTT streaming, and immersive multiscreen experience and on demand services, as well as pre-integrated solutions, such as multi-content delivery networks including Broadpeak, Edgeware and HBO, multi"digital rights management, and seamless integration with existing network components. The company also offers StreamVid, a cloud-based OTT video platform for operators and content owners that enables streaming services, including content ingestion, workflow automation, user management, content prote…
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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.