Sears Canada Inc (SRSCQ) Fair Value & Analysis
Consumer Cyclical · US · Market cap $10.2K
Fair value as of: Jun 26, 2026
Analysis
Sears Canada Inc (SRSCQ) currently trades at $0.0001, while our model-based Fair Value estimate is $0.0001 — implying the stock looks roughly 0.0% undervalued today. We read business quality at 89/100 (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: low) — always confirm before acting.
About the company
Sears Canada Inc. operates as a multi-format retailer in Canada. The company operates department stores that offer various merchandise, including women's, men's, and children's apparel, as well as nursery products, cosmetics, jewelry, footwear, and accessories; and home furnishings and mattresses, home décor, lawn and garden, hardware, leisure, seasonal products, toys, floorcare, sewing, and various appliances. It also operates home stores, which provide furniture, mattresses and box-springs, and various appliances; hometown stores that offer various appliances, furniture, mattresses and box-springs, and outdoor power equipment; outlet stores, which provide clearance merchandise and surplus big-ticket items; and appliance specialty stores. In addition, the company offers a range of home services, such as carpet and duct cleaning, installation and assembly of heating and cooling equipment, custom window coverings, windows and doors, and other products purchased at its stores. Further…
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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.