HMS Bergbau AG (HMU) Fair Value & Analysis
Energy · DE · Market cap €194M
Fair value as of: Jun 24, 2026
Analysis
HMS Bergbau AG (HMU) currently trades at €41.90, while our model-based Fair Value estimate is €41.02 — implying the stock looks roughly 2.1% overvalued today. We read business quality at 90/100 (high quality), in the Energy sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
HMS Bergbau AG, together with its subsidiaries, engages in trading and distributing coal and other energy raw materials to energy producers, cement manufacturers, and industrial consumers worldwide. The company provides energy resources, including coking coal, anthracite, PCI coal, thermal coal, and petcoke, oil and gas products, comprising marine fuels, alternative and renewable fuels, marine lubricants and other related products and services; metals and minerals, such as iron ores, manganese ores, copper, niobium, tantalum, beryllium, and lithium; and renewable and other products comprising wood pellets, biomass, hydrogen, cementitious and cement products, and fertilizers. It also offers port management, chartering, operational processing, technical monitoring, storage management, beneficiation, quality assessment, and loading; and inland transportation through barges, trucks, and rail, as well as just-in-time delivery services. Additionally, the company engages in the acquisition…
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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.