Escalade, Incorporated (ESCA) Fair Value & Analysis
Consumer Cyclical · US · Market cap $257M
Fair value as of: Jun 24, 2026
Analysis
Escalade, Incorporated (ESCA) currently trades at $18.82, while our model-based Fair Value estimate is $21.73 — implying the stock looks roughly 15.5% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Escalade, Incorporated manufactures, distributes, imports, and sells sporting goods in North America, Europe, and internationally. The company provides various sporting goods brands in basketball goals, archery, indoor and outdoor game recreation, and fitness products. It offers archery products under the Bear Archery, Trophy Ridge, Cajun Bowfishing, SIK, and BearX brand names; table tennis products under the STIGA and Ping-Pong brands; basketball goals under the Goalrilla, Goaliath, Silverback, Hoopstar, and Goalsetter brand names; and pickleball under the Onix, and DURA brands. The company provides play systems under the Woodplay and Jack & June brands; fitness products under the STEP, Lifeline, Kettleworx, Natural Fitness, USW, adidas Fitness, and PER4M brand names; safety products under the US Weight brand; hockey and soccer game tables under the Triumph, Atomic, American Legend, Air Hockey, and HJ Scott brands; and billiard tables and accessories under the American Heritage Bil…
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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.