Implenia AG (IMPN) Fair Value & Analysis
Industrials · CH · Market cap CHF 1.1B
Analysis
Implenia AG (IMPN) currently trades at CHF 74.30, while our model-based Fair Value estimate is CHF 71.19 — implying the stock looks roughly 4.2% overvalued today. We read business quality at 95/100 (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
Implenia AG provides construction and real estate services in Switzerland, Germany, Austria, Norway, Sweden, France, and internationally. It operates through Buildings; Civil Engineering; and Service Solutions segments. The company engages in tunnel construction; civil engineering; structural engineering; foundation engineering; structural design; building preservation; and depots. It also engages in construction maintenance; works yards; building construction logistics; and bar post-tensioning systems services, as well as solutions for excavations, retaining structures, deep foundations, and noise barriers. In addition, it provides building construction services, such as new construction, modernization, master builder, and timber construction; real estate development, management, investment, consulting, and planning services; real estate products; building technology planning; construction logistics; building physics, acoustics, sustainability, and energy; facade and geotechnical e…
Open the full interactive analysis →
Similar stocks
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.