Gerresheimer AG (GRRMY) Fair Value & Analysis
Healthcare · US · Market cap $939M
Analysis
Gerresheimer AG (GRRMY) currently trades at $7.23, while our model-based Fair Value estimate is $17.98 — implying the stock looks roughly 148.8% undervalued today. We read business quality at 91/100 (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: high) — always confirm before acting.
About the company
Gerresheimer AG, together with its subsidiaries, provides medicine packaging, drug delivery devices, and solutions in Germany and internationally. The company operates through three divisions: Plastics & Devices, Primary Packaging Glass, and Advanced Technologies. It offers prefillable syringes, plastic and glass packaging solutions, vials, glass cartridges and ampoules, bottles and containers, and containers, bottles, caps, closures, applicators, and accessories; development, industrialization and contract manufacturing of drug delivery programs; project and quality management; and drug delivery devices, including inhalers, injection/auto injectors, and pen injectors. The company also provides diagnostic and medical devices comprising point-of-care tests, laboratory disposables, chemical and technical bottles, diagnostic and polymer vials, dropper bottles, PET bottles, and medical products comprising lancing devices, infusion sets, and disposable systems. In addition, it offers cos…
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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.