OPmobility SE (OPM) Fair Value & Analysis
Consumer Cyclical · FR · Market cap €2.4B
Analysis
OPmobility SE (OPM) currently trades at €14.03, while our model-based Fair Value estimate is €28.48 — implying the stock looks roughly 103.0% undervalued today. We read business quality at 94/100 (high quality), in the Consumer Cyclical 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
OPmobility SE designs and produces intelligent exterior systems, customized complex modules, lighting systems, energy storage systems, and electrification solutions for all mobility players in Europe, North America, China, rest of Asia, South America, the Middle East, and Africa. It operates through three segments: Exterior & Lighting, Modules, and Powertrain. The company develops complex exterior systems, including smart bumpers and tailgates, function integration, protection, as well as provides design and customization; automotive lighting systems, such as headlights and signaling lighting, projection solutions, interior lighting, body lighting, front lighting and light signaling, and lighting electronics. It also provides module design, development, and assembly. In addition, the company offers energy storage and emission reduction systems various types of gasoline, diesel, hybrid and plug in hybrid powertrains; design and manufacture of battery systems, electronics and power el…
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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.