Destination XL Group (DXLG) Fair Value & Analysis
Consumer Cyclical · US · Market cap $38.7M
Fair value as of: Jun 24, 2026
Analysis
Destination XL Group (DXLG) currently trades at $0.6920, while our model-based Fair Value estimate is $1.31 — implying the stock looks roughly 89.3% undervalued today. We read business quality at 97/100 (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: medium) — always confirm before acting.
About the company
Destination XL Group, Inc., together with its subsidiaries, operates as a specialty retailer of big and tall men's clothing and footwear in the United States. The company's stores offer sportswear and dresswear; fashion-neutral items, including jeans, casual pants, t-shirts, polo shirts, dress shirts, and suit separates; and casual clothing. It also provides vintage-screen t-shirts and wovens under various private labels. The company offers its products under the Destination XL, DXL, DXL Men's Apparel, Big on Being Better, Casual Male, Casual Male XL, Continuous Comfort, FiTMAP, Harbor Bay, Oak Hill, Synrgy, Society of One, True Nation, Wear What You Want, Neck-Relaxer brand names. The company was formerly known as Casual Male Retail Group, Inc. and changed its name to Destination XL Group, Inc. in February 2013. Destination XL Group, Inc. was incorporated in 1976 and is headquartered in Canton, Massachusetts.
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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.