Carter's, Inc (CRI) Fair Value & Analysis
Consumer Cyclical · US · Market cap $1.6B
Analysis
Carter's, Inc (CRI) currently trades at $42.75, while our model-based Fair Value estimate is $39.39 — implying the stock looks roughly 7.9% 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: high).
About the company
Carter's, Inc., together with its subsidiaries, designs, sources, and markets branded childrenswear in the United States and internationally. It operates through three segments: U.S. Retail, U.S. Wholesale, and International. The company's products include babies and young children's products, such as bodysuits, layette essentials, sleep and play, pants, tops and t-shirts, multipiece sets, dresses, and sleepwear; and playclothes, such as denim jeans, overalls, core bottoms, knit tops, t-shirts, and layering pieces. It also provides products for playtime, travel, mealtime, bath time, and home gear, as well as kid's and diaper bags, as well as range of licensed sports and character t-shirts. In addition, the company offers sleepwear, swimwear, outerwear, bedding, accessories, and toys; and toddler apparel and accessories. It sells its products through its retail stores, websites, and mobile app, as well as its wholesale distribution; and distributes its products to wholesale customers…
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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.