Sartorius Aktiengesellschaft (SSSGY) Fair Value & Analysis
Healthcare · US · Market cap $15.2B
Analysis
Sartorius Aktiengesellschaft (SSSGY) currently trades at $43.93, while our model-based Fair Value estimate is $26.92 — implying the stock looks roughly 38.7% overvalued today. We read business quality at 80/100 (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: medium).
About the company
Sartorius Aktiengesellschaft provides bioprocess solutions, and lab products and services worldwide. The company offers analytical solutions, such as biolayer interferometry systems, high-throughput screening by cytometry systems, process analytical technology and data analytics, cell selection and retrieval, live-cell imaging and analysis systems, and surface plasmon resonance systems; cell culture solutions, including bioreactors and fermenters, cell culture reagents, supplements and matrices, nucleic acid and delivery solutions, cell culture media, and cell lines and buffers; and fluid management products. It also provides lab filtration and purification solutions, lab water purification systems, microtissue technologies, lab weighing, pipettes, tips and dispensers, microbiological testing solutions, lab data and fleet management software, and OEM solutions; and Process chromatography and filtration solutions. The company serves the life science research, biopharmaceutical manufa…
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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.