Limbach Holdings (LMB) Fair Value & Analysis
Industrials · US · Market cap $955M
Analysis
Limbach Holdings (LMB) currently trades at $81.45, while our model-based Fair Value estimate is $50.86 — implying the stock looks roughly 37.6% 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
Limbach Holdings, Inc. operates as a building systems solution company in the United States. The company operates through two segments, Owner Direct Relationships and General Contractor Relationships. It engages in the construction or renovation projects that involve primarily include mechanical, electrical, plumbing, and controls services (MEPC). It also provides professional and consultative services; inspection, troubleshooting, repair, and services; system and/or facility assessments; turnkey rental equipment solutions; MEPC infrastructure solutions; and customized solutions. The company serves research, acute care, and inpatient hospitals; public and private colleges, universities, research centers; entertainment facilities, and amusement rides and parks; data centers; automotive, energy and general manufacturing plants; and life sciences, including organizations and companies, whose work is centered around research and development focused on living things. Limbach Holdings, In…
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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.