Daimler Truck Holding (DTGHF) Fair Value & Analysis
Industrials · US · Market cap $36.1B
Analysis
Daimler Truck Holding (DTGHF) currently trades at $46.21, while our model-based Fair Value estimate is $52.33 — implying the stock looks roughly 13.2% undervalued today. We read business quality at 94/100 (high quality), in the Industrials 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
Daimler Truck Holding AG manufactures and sells light, medium- and heavy-duty trucks and buses in Europe, North America, Asia, Latin America, and internationally. The company operates through five segments: Trucks North America, Mercedes-Benz Trucks, Trucks Asia, Daimler Buses, and Financial Services. It offers light, medium, and heavy-duty trucks; city and intercity buses, coaches, and bus chassis; industrial engines; and special vehicles used in various sector, as well as new and used commercial vehicles. The company also provides various financial services, such as rental, leasing, and financing for vehicles; and charging infrastructure, insurance brokerage, payment, and integrated services for zero emission vehicles. In addition, it offers connectivity solutions under the Detroit Connect, Truckonnect, TruckLive, OMNIplus ON, Mercedes-Benz Uptime, and Fleetboard brand names; and aftersales services, as well as sells spare parts. It provides trucks and buses under the Mercedes-Ben…
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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.