Deutsche Post AG (DPSTF) Fair Value & Analysis
Industrials · US · Market cap $68.1B
Fair value as of: Jun 24, 2026
Analysis
Deutsche Post AG (DPSTF) currently trades at $60.85, while our model-based Fair Value estimate is $74.58 — implying the stock looks roughly 22.6% 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
Deutsche Post AG operates as a mail and logistics company in Germany, rest of Europe, the Americas, the Asia Pacific, the Middle East, and Africa. The company operates through five segments: Express; Global Forwarding, Freight; Supply Chain; eCommerce; and Post & Parcel Germany. The Express segment offers time-definite courier and express services to business and private customers. The Global Forwarding, Freight segment provides air, ocean, and overland freight forwarding services; and offers multimodal and sector-specific solutions. The Supply Chain segment delivers customized logistics services and supply chain solutions to its customers based on modular components, including warehousing and transport and value-added services. The eCommerce segment provides parcel delivery and cross-border services. The Post & Parcel Germany segment transports, sorts, and delivers documents and goods; and additional services, such as registered mail, insured items, redirection, and storage, as wel…
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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.