Citi Trends, Inc (CTRN) Fair Value & Analysis
Consumer Cyclical · US · Market cap $505M
Analysis
Citi Trends, Inc (CTRN) currently trades at $61.89, while our model-based Fair Value estimate is $13.03 — implying the stock looks roughly 78.9% overvalued today. We read business quality at 97/100 (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
Citi Trends, Inc. operates as a value retailer of apparel, accessories, and home trends. The company offers apparel for juniors, missy, and plus size, including trend right sportswear, outerwear, sleepwear, lingerie, and scrubs for women; basics, fashion, and trends for boys up to size 20 and girls up to size 16, as well as sizes for newborns, infants, and toddlers; children's uniforms, accessories, and sleepwear; and apparel for men and big men, such as trend right sportswear and outerwear. It also provides fashionable handbags, luggage, hats, belts, sunglasses, jewelry, and watches for men and women; and underwear and socks for the entire family, as well as beauty and fragrance offerings for women and men. In addition, the company offers home goods for the bedroom, bathroom, kitchen, and decorative accessories; eclectic composition of wants and needs comprising books, food, tech products, team sports products, toys, health and beauty products, and seasonal items. Further, it provi…
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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.