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FIPP S.A (FIPP) Fair Value & Analysis

Real Estate · FR · Market cap €16.4M

Price€0.1560
Fair Value€0.3900
Upside+150.0%
Quality81/100
Evidence: Medium Range €0.2940 – €0.4860

Fair value as of: Jun 26, 2026

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Analysis

FIPP S.A (FIPP) currently trades at €0.1560, while our model-based Fair Value estimate is €0.3900 — implying the stock looks roughly 150.0% undervalued today. We read business quality at 81/100 (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: medium) — always confirm before acting.

About the company

FIPP S.A. engages in the real estate business in Paris and internationally. The company acquires or constructs buildings for rental. It is also involved in the direct or indirect holding of interests in companies with buildings rental activity. The company's property portfolio includes shops and hotels. The company was incorporated in 1954 and is headquartered in Paris, France.

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Frequently asked questions

Is FIPP S.A (FIPP) undervalued?
As of Jun 26, 2026, our model estimates a fair value of €0.3900 versus a price of €0.1560 — about +150% (undervalued). Model-based estimate, not financial advice.
What is the fair value of FIPP?
Our 21-model fair value for FIPP S.A is €0.3900 (as of Jun 26, 2026), built from audited fundamentals. The current price is €0.1560.
What is the quality score of FIPP?
FIPP S.A has a Quality Score of 81/100, 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.