HWA AG (H9W) Fair Value & Analysis
Consumer Cyclical · DE · Market cap €31.4M
Fair value as of: Jun 24, 2026
Analysis
HWA AG (H9W) currently trades at €3.78, while our model-based Fair Value estimate is €4.43 — implying the stock looks roughly 17.2% undervalued today. We read business quality at 95/100 (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: low) — always confirm before acting.
About the company
HWA AG develops and produces motorsport cars in Germany, Australia, and the United States. The company operates in two segments, Motor Racing and Vehicles/Vehicle Components. It participates in the FIA Formula 2 championship and FIA Formula 3 championship under the HWA RACELAB name; and participates in the ABB FIA Formula E championship as a racing team for the Mercedes-Benz EQ Formula E team. In addition, the company engages in the production of Mercedes-AMG GT4 and Mercedes-AMG GT3 MY cars. Further, it develops race and road cars. Additionally, the company provides operation of durability and regulation tests; vehicle components, mechanical assembly, modelling, logistics, and after-sales services. Furthermore, it develops, assemblies, and manages electrics and electronics, as well as engages in vacuum autoclave process services. The company is involved in certification and paint services. HWA AG was founded in 1998 and is headquartered in Affalterbach, Germany.
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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.