Clarus Corporation (CLAR) Fair Value & Analysis
Consumer Cyclical · US · Market cap $123M
Fair value as of: Jun 25, 2026
Analysis
Clarus Corporation (CLAR) currently trades at $3.13, while our model-based Fair Value estimate is $1.13 — implying the stock looks roughly 63.9% overvalued today. We read business quality at 95/100 (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: low).
About the company
Clarus Corporation engages in the design, development, manufacture, and distribution of outdoor equipment and lifestyle products in the United States, Australia, China, Austria, and internationally. It operates in two segments, Outdoor and Adventure. The Outdoor segment offers apparels, such as shells, insulation, midlayers, pants, and logowear; rock-climbing footwear and equipment, including carabiners, protection devices, harnesses, belay devices, helmets, and ice-climbing gears; technical backpacks and day packs; trekking poles; headlamps and lanterns; gloves and mittens; and skis, ski poles, ski skins, avalanche airbag systems and transceivers, shovels, and probes. This segment provides its products for climbing, mountaineering, trail running, backpacking, skiing, and other outdoor recreation activities under the Black Diamond Equipment and PIEPS brands. The Adventure segment offers engineered automotive roof racks, trays, mounting systems, luggage boxes, carriers, recovery boar…
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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.