Alamo Group (ALG) Fair Value & Analysis
Industrials · US · Market cap $1.8B
Analysis
Alamo Group (ALG) currently trades at $159.08, while our model-based Fair Value estimate is $179.14 — implying the stock looks roughly 12.6% undervalued today. We read business quality at 95/100 (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
Alamo Group Inc. manufactures and sells industrial and vegetation management equipment for governmental, industrial, and agricultural uses worldwide. It operates in two segments, Vegetation Management and Industrial Equipment. The Vegetation Management segment offers tractor powered equipment such as rotary, finishing, flail, and disc mowers; rotary cutters; front end loaders, backhoes, tillers, posthole diggers, scraper blades, cultivators, subsoilers, and other tractor attachments and implements. This segment also provides commercial and residential zero turn mowers; hydraulic and mechanical boom and reach mowers; hedge and hedgerow cutters; industrial grass mowers; seedbed preparation equipment; and forestry and tree care tools, including chippers, stump grinders, mulchers, brush cutters, flails, and debarkers, as well as remote control mowers and related replacement parts. Its Industrial Equipment segment offers hydraulic telescoping booms; catch basin and roadway debris vacuum …
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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.