Alliance Laundry Holdings (ALH) Fair Value & Analysis
Consumer Cyclical · US · Market cap $5.0B
Analysis
Alliance Laundry Holdings (ALH) currently trades at $26.28, while our model-based Fair Value estimate is $8.01 — implying the stock looks roughly 69.5% overvalued today. We read business quality at 91/100 (high quality), in the Consumer Cyclical 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
Alliance Laundry Holdings Inc. designs, manufactures, and sells commercial laundry systems in the United States, the Czech Republic, Thailand, and internationally. The company offers washer extractors, top-load washers, and front-load washers; tumblers and small-chassis dryers; combination washer and dryer products; service parts and consumables; and equipment financing, laundromat site selection assistance, investment seminar training programs, computer-aided commercial laundry room design, sales and service training for distributors, technical assistance, and on-call installation and repair services. It also provides Speed Queen Insights, Huebsch Command, Primus i-Trace, and IPSO Connect, which offer performance reporting, issue and error alerts, machine control and programming, a mobile payment platform with an integrated loyalty program, and an integrated CRM and marketing system to vended laundry customers; UniMac Core, a cloud-based monitoring and reporting management tool tha…
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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.