CMS Energy Corporation (CMS) Fair Value & Analysis
Utilities · US · Market cap $22.2B
Fair value as of: Jun 24, 2026
Analysis
CMS Energy Corporation (CMS) currently trades at $75.33, while our model-based Fair Value estimate is $49.39 — implying the stock looks roughly 34.4% overvalued today. We read business quality at 93/100 (high quality), in the Utilities 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: medium).
About the company
CMS Energy Corporation operates as an energy company primarily in Michigan. The company operates through three segments: Electric Utility; Gas Utility; and NorthStar Clean Energy. The Electric Utility segment is involved in the generation, purchase, distribution, and sale of electricity. This segment generates electricity through coal, wind, gas, renewable energy, oil, and nuclear sources. Its distribution system comprises 263 miles of high-voltage distribution overhead lines; 4 miles of high-voltage distribution underground lines; 4,619 miles of high-voltage distribution overhead lines; 18 miles of high-voltage distribution underground lines; 82,854 miles of electric distribution overhead lines; 10,027 miles of underground distribution lines; and 1,102 substations. The Gas Utility segment engages in the purchase, transmission, storage, distribution, and sale of natural gas, which includes 2,337 miles of transmission lines; 14 gas storage fields; 28,433 miles of distribution mains; …
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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.