Franklin Electric Co (FELE) Fair Value & Analysis
Industrials · US · Market cap $4.3B
Analysis
Franklin Electric Co (FELE) currently trades at $103.63, while our model-based Fair Value estimate is $75.94 — implying the stock looks roughly 26.7% 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
Franklin Electric Co., Inc., together with its subsidiaries, designs, manufactures, and distributes water and fuel pumping systems in the United States, Canada, Latin America, Europe, the Middle East, Africa, and the Asia Pacific. It operates through Water Systems, Energy Systems, and Distribution segments. The Water Systems segment offers motors, pumps, water treatment systems, monitoring devices, and related parts and equipment for use in groundwater, water transfer, and wastewater in a range of residential, agricultural, municipal, and industrial applications; and electronic drives and controls for the motors, which control functionality and provide protection from various hazards, such as electrical surges, over-heating, and dry wells or dry tanks. Its Energy Systems segment produces and markets pumps, motors, pipes, sumps, fittings, vapor recovery components, electronic controls, monitoring devices, and related parts and equipment for use in energy system applications; and comp…
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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.