Ludan Engineering Co (LUDN) Fair Value & Analysis
Industrials · Il · Market cap 112M ILA
Fair value as of: Jun 25, 2026
Analysis
Ludan Engineering Co (LUDN) currently trades at 9.65 ILA, while our model-based Fair Value estimate is 23.60 ILA — implying the stock looks roughly 144.5% undervalued today. We read business quality at 94/100 (high quality), in the Industrials 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
Ludan Engineering Co. Ltd operates as an engineering company worldwide. The company operates in two segments; Engineering and Software and Control. It is involved in the provision of engineering, procurement, construction supervision, and project management, as well as consulting and turn-key services; technical and managerial, and integrated automation and control service; ticket vending machines; software integration and control solutions; and technological solutions for soil and underground water, industrial solid water, air pollution, and wastewater. The company also offers organizational quality control laboratories support; supplier qualifications; organizational quality system establishment, maintenance, and management; validations of facilities, equipment and method; aseptic manufacturing consultation services for pharmaceutics, vaccines, biotechnology, laboratory, medical cannabis, food-tech, and medical device sectors. In addition, it provides planning coordination, statut…
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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.