Newell Brands Inc (NWL) Fair Value & Analysis
Consumer Defensive · US · Market cap $2.1B
Analysis
Newell Brands Inc (NWL) currently trades at $5.12, while our model-based Fair Value estimate is $5.06 — implying the stock looks roughly 1.2% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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
Newell Brands Inc. engages in the design, manufacture, sourcing, and distribution of consumer and commercial products worldwide. The company operates in three segments: Home and Commercial Solutions, Learning and Development, and Outdoor and Recreation. The Commercial Solutions segment provides commercial cleaning and maintenance solution products under the Rubbermaid, Rubbermaid Commercial Products, Mapa, and Spontex brands; closet and garage organization products; hygiene systems and material handling solutions; household products, such as kitchen appliances under the Crockpot, Mr. Coffee, Oster, and Sunbeam brands; small appliances under the Breville brand name in Europe; food and home storage products under the FoodSaver, Rubbermaid, Ball, and Sistema brands; fresh preserving products; vacuum sealing products; and gourmet cookware, bakeware, and cutlery under the Calphalon brand; and home fragrance products under the Chesapeake Bay, WoodWick, and Yankee Candle brands. The Learni…
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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.