Seer, Inc (SEER) Fair Value & Analysis
Healthcare · US · Market cap $95.7M
Fair value as of: Jun 25, 2026
Analysis
Seer, Inc (SEER) currently trades at $1.69, while our model-based Fair Value estimate is $1.63 — implying the stock looks roughly 3.8% overvalued today. We read business quality at 95/100 (high quality), in the Healthcare 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: low).
About the company
Seer, Inc., a life sciences company, develops and commercializes products to decode the biology of the proteome to improve human health in the United States, China, Australia, Europe, Israel, Japan, and South Africa. The company offers Proteograph Product Suite, an integrated solution, which includes proprietary engineered nanoparticles, consumables, automation instrumentation, and data analysis software to perform proteomic analysis to provide a solution that can be incorporated by nearly any lab for research use only. The company also offers Proteograph ONE, a third-generation assay; Proteograph DIRECT, which provides an automated approach for direct digestion of samples for bottom-up LC-MS proteomic analysis; and Proteograph Analysis Suite, a data analytics software suite designed to support quality control, data management, and interpretation of Proteograph output which is currently offered as a cloud-based solution. It markets and sells its products for research use only, which…
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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.