Taisei Corporation (TISCF) Fair Value & Analysis
Industrials · US · Market cap $19.8B
Fair value as of: Jun 24, 2026
Analysis
Taisei Corporation (TISCF) currently trades at $121.60, while our model-based Fair Value estimate is $81.08 — implying the stock looks roughly 33.3% overvalued today. We read business quality at 94/100 (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
Taisei Corporation engages in the civil engineering, building construction and development businesses in Japan. The company is involved in regional, urban, ocean, aerospace, and resources development, as well as energy supply, emissions trading, and development of infrastructure; and planning, designing, supervising, construction and installation, holding, lease, transfer, maintenance, management, and operation of roads, railways, harbors, airports, river facilities, water supplies and sewerage, government buildings, waste disposal facilities, parking and other public facilities, and similar facilities. It also engages in holding, leasing, maintenance, and management of hotels, sports facilities, recreational facilities, commercial facilities, offices, medical facilities, logistics facilities, warehouses, and educational and cultural facilities; provision of soil cleanup, water cleanup of river, lake and harbor, collection, transportation, arrangement, disposal, and reuse of wastes …
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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.