Grenke AG (GLJ) Fair Value & Analysis
Financial Services · DE · Market cap €574M
Analysis
Grenke AG (GLJ) currently trades at €12.10, while our model-based Fair Value estimate is €20.53 — implying the stock looks roughly 69.7% undervalued today. We read business quality at 94/100 (high quality), in the Financial Services 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
Grenke AG, together with its subsidiaries, provides financial services to small and medium-sized (SME) enterprises in Germany, France, Italy, and internationally. It is involved in the financing for commercial lessees; leasing, services, protection, and maintenance offers, as well as small-ticket leasing of IT products, such as PCs, notebooks, servers, monitors, and other peripheral devices. The company also offers leasing portfolio that includes office communication products comprising telecommunications and copying equipment, as well as medical technology products, small machines and equipment, security devices, and green economy objects, including wall boxes, photovoltaic systems, and eBikes. In addition, it provides fixed-term deposits for private and commercial customers through its website and online platforms; microloans and start-up financing, as well as development loans to SMEs and self-employed professionals; and small-ticket factoring services. The company was formerly k…
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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.