Rapid Micro Biosystems, Inc (RPID) Fair Value & Analysis
Healthcare · US · Market cap $85.2M
Fair value as of: Jun 24, 2026
Analysis
Rapid Micro Biosystems, Inc (RPID) currently trades at $1.69, while our model-based Fair Value estimate is $2.56 — implying the stock looks roughly 51.5% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare 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
Rapid Micro Biosystems, Inc., a life sciences technology company, provides products for the detection of microbial contamination in the manufacture of pharmaceutical, biologics, medical devices, and personal care products in the United States, Switzerland, Germany, Japan, and internationally. The company offers Growth Direct platform, which includes growth direct system, proprietary consumables, lab information management system connection software, and customer support and validation services. Its platform automates and modernizes the antiquated, manual microbial quality control (MQC), testing workflows for therapeutic modalities, such as biologics and cell and gene therapies, vaccines, and sterile injectables. The company also provides onsite technical training services. Its solutions are used in environmental monitoring, water, bioburden, and sterility release testing applications. In addition, the company offers RMBNucleus Mold Alarm software; and Growth Direct LIMS connection s…
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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.