Poujoulat SA (ALPJT) Fair Value & Analysis
Industrials · FR · Market cap €54.3M
Fair value as of: Jun 24, 2026
Analysis
Poujoulat SA (ALPJT) currently trades at €5.90, while our model-based Fair Value estimate is €4.47 — implying the stock looks roughly 24.2% overvalued today. We read business quality at 90/100 (high quality), in the Industrials 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: high).
About the company
Poujoulat SA offers metal chimneys flues for individual homes, collective housing, and new built and renovation industry in France and internationally. It offers chimney flues, roof outlets, tubing conduits, connecting ducts, hot air recovery and distribution, smoke extractor, filtration, interview, ventilation, home automation, personalization, and heat pump and air conditioning cover products for detached houses. The company also provides double-wall insulated ducts, single-wall ducts, silent, sealed boiler ducts, collective gas systems, and smoke extractors and maintenance products for collective, tertiary, and industry. The company also exports its products. The company was formerly known as Poujoulat Etablissements SA and changed its name to Poujoulat SA in August 2008. Poujoulat SA was founded in 1950 and is headquartered in Saint-Symphorien, France.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Poujoulat SA (ALPJT) undervalued?
What is the fair value of ALPJT?
What is the quality score of ALPJT?
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.