Akwel SA (AKW) Fair Value & Analysis
Consumer Cyclical · FR · Market cap €192M
Fair value as of: Jun 25, 2026
Analysis
Akwel SA (AKW) currently trades at €7.10, while our model-based Fair Value estimate is €13.43 — implying the stock looks roughly 89.2% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Akwel SA manufactures and sells automotive and heavy goods vehicle components in Europe, the Middle East, Africa, the United States, and Asia. The company offers pipes, valves or sensors for cooling solutions; fuel and oil solutions; control products; and air distributors, turbo air intake and output pipes and exchangers, exhaust gas recirculation pipes. It also manages washer systems, including tanks and jets comprising storage, pumping, transfer, and jet; and electronic management of hardware, software, transfer, storage, reheating, and pumping systems. Akwel SA was formerly known as MGI Coutier SA and changed its name to AKWEL in June 2018. The company was founded in 1972 and is based in Champfromier, France. Akwel SA operates as a subsidiary of Coutier Junior.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Akwel SA (AKW) undervalued?
What is the fair value of AKW?
What is the quality score of AKW?
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.