NuScale Power Corporation (SMR) Fair Value & Analysis
Industrials · US · Market cap $4.8B
Analysis
NuScale Power Corporation (SMR) currently trades at $10.86, while our model-based Fair Value estimate is $15.20 — implying the stock looks roughly 40.0% undervalued today. We read business quality at 89/100 (high quality), in the Industrials 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: low) — always confirm before acting.
About the company
NuScale Power Corporation provides small modular reactor technology solutions. It offers NuScale Power Module (NPM), a light water nuclear reactor that can generate 77 megawatts of electricity (MWe). The company also provides design and nuclear regulatory licensing basis information to construct and operate the power plant; and licensing, design, development, construction, operation, and maintenance of the power plant. In addition, it offers regulatory licensing support services; start-up testing and commissioning support; accredited training programs to support initial and ongoing power plant operations; management of all aspects of the U.S. Nuclear Regulatory Commission required inspections, tests, analysis, and acceptance criteria process; NuScale Power Module mechanical handling; initial and ongoing fuel bundle loading and movement; design engineering management during commercial operation; operations and maintenance program management; procurement and spare parts management; nu…
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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.