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EgnsINVEST Ejendomme, Germany A / S owns, (EGNETY) Fair Value & Analysis

Real Estate · DK · Market cap 333M DKK

Pricekr 146.00
Fair Valuekr 169.57
Upside+16.1%
Quality95/100
Evidence: High Range kr 127.18 – kr 211.97

Fair value as of: Jun 26, 2026

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Analysis

EgnsINVEST Ejendomme, Germany A / S owns, (EGNETY) currently trades at kr 146.00, while our model-based Fair Value estimate is kr 169.57 — implying the stock looks roughly 16.1% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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

EgnsINVEST Ejendomme, Germany A / S owns, operates, and develops properties. It also leases its properties. The company is based in Horsens, Denmark.

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Frequently asked questions

Is EgnsINVEST Ejendomme, Germany A / S owns, (EGNETY) undervalued?
As of Jun 26, 2026, our model estimates a fair value of kr 169.57 versus a price of kr 146.00 — about +16% (undervalued). Model-based estimate, not financial advice.
What is the fair value of EGNETY?
Our 21-model fair value for EgnsINVEST Ejendomme, Germany A / S owns, is kr 169.57 (as of Jun 26, 2026), built from audited fundamentals. The current price is kr 146.00.
What is the quality score of EGNETY?
EgnsINVEST Ejendomme, Germany A / S owns, has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.