Bunzl plc (BZLFY) Fair Value & Analysis
Consumer Defensive · US · Market cap $10.5B
Analysis
Bunzl plc (BZLFY) currently trades at $17.22, while our model-based Fair Value estimate is $19.33 — implying the stock looks roughly 12.3% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: high) — always confirm before acting.
About the company
Bunzl plc operates as a distribution and services company in the North America, Continental Europe, the United Kingdom, Ireland, and internationally. It provides personal protection and safety equipment, including gloves, boots, hard hats, ear and eye protection, other workwear, as well as cleaning and hygiene supplies and asset protection products; and healthcare consumables, such as gloves, masks, swabs, gowns, bandages, healthcare devices, and other healthcare related equipment. The company also offers cleaning and hygiene materials comprising chemicals and hygiene paper; goods-not-for-resale, including food packaging, films, labels, and other store supplies; non-food consumables, such as food packaging, disposable tableware, guest amenities, catering equipment, and agricultural supplies; and other products. It serves its products to industrial, construction, e-commerce, hospitals, care homes and other facilities serving the healthcare, public sector customers, grocery stores, su…
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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.