Badger Meter, Inc (BMI) Fair Value & Analysis
Technology · US · Market cap $3.7B
Fair value as of: Jun 24, 2026
Analysis
Badger Meter, Inc (BMI) currently trades at $127.81, while our model-based Fair Value estimate is $97.06 — implying the stock looks roughly 24.1% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
Badger Meter, Inc. manufactures and markets flow measurement, quality, control, and communication solutions worldwide. The company offers Utility water smart metering solutions and software technologies and services to municipal water utility market. It also provides flow instrumentation products, including meters, valves, and other sensing instruments to measure and control fluids, including water, air, steam, and other liquids and gases to original equipment manufacturers as the primary flow measurement device within a product or system, as well as through manufacturers' representatives. In addition, the company offers ORION Cellular endpoints to power network as a service; ORION mobile read endpoints support for deploying AMR solution; radio products; hardware, instruments, and sensors, and related software, to enhance connected data to a water utility's operation; water quality monitoring solutions, including optical sensing and electrochemical instruments; and high frequency pr…
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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.