Loar Holdings (LOAR) Fair Value & Analysis
Industrials · US · Market cap $5.9B
Analysis
Loar Holdings (LOAR) currently trades at $71.60, while our model-based Fair Value estimate is $16.18 — implying the stock looks roughly 77.4% overvalued today. We read business quality at 91/100 (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
Loar Holdings Inc., through its subsidiaries, designs, manufactures, and sells aerospace and defense components for aircraft, and aerospace and defense systems in the United States and internationally. It offers airframe components, structural components, avionics, composites, braking system components, de-ice and ice protection, electro-mechanical, engineered materials, flight controls, fluid and motion controls, environmental, metal forming, molded components, and restraints and safety devices. The company also provides auto throttles, lap-belt airbags, two-and three-point seat belts, water purification systems, fire barriers, polyimide washers and bushings, latches, interior securing devices, hold-open and tie rods, temperature and fluid sensors and switches, carbon and metallic brake discs, fluid and pneumatic-based ice protection, RAM air components, sealing solutions, motion and actuation devices, edge-lighted panels and knobs, and annunciators for incandescent and LED illumin…
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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.