Mueller Water Products, Inc (MWA) Fair Value & Analysis
Industrials · US · Market cap $3.9B
Analysis
Mueller Water Products, Inc (MWA) currently trades at $25.63, while our model-based Fair Value estimate is $18.83 — implying the stock looks roughly 26.5% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Mueller Water Products, Inc. manufactures and markets products and services for the transmission, distribution, and measurement of water used by municipalities, and the residential and non-residential construction industries in the United States, Canada, and internationally. It operates in two segments, Water Flow Solutions and Water Management Solutions. The Water Flow Solutions segment provides valves for water systems, such as iron gate, butterfly, tapping, check, knife, plug, and ball valves, which are used to control distribution and transmission of potable water and non-potable water, as well as in water transmission or distribution, water treatment facilities, or industrial applications. It also offers service brass products. The Water Management Solutions segment offers dry-barrel and wet-barrel fire hydrants for water infrastructure development; fire protection systems, and water infrastructure repair and replacement projects; pipe repair products, such as couplings, grips,…
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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.