Ameresco, Inc (AMRC) Fair Value & Analysis
Industrials · US · Market cap $1.4B
Analysis
Ameresco, Inc (AMRC) currently trades at $27.77, while our model-based Fair Value estimate is $22.88 — implying the stock looks roughly 17.6% overvalued today. We read business quality at 94/100 (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
Ameresco, Inc. engages in the provision of energy solutions in the United States, Canada, and Europe. The company operates through North America Regions, U.S. Federal, Renewable Fuels, Europe, and All Other segments. It offers energy efficiency, infrastructure upgrades, energy security and resilience, asset sustainability, and renewable energy solutions for businesses and organizations. The company also designs, develops, engineers, and installs projects that reduce the energy, as well as operations and maintenance (O&M) costs of its customers' facilities; and projects primarily include various measures customized for the facility and designed to enhance the efficiency of building systems, such as heating, ventilation, cooling, and lighting systems. In addition, it offers renewable energy solutions and services, such as the development and construction of small-scale plants that the company owns or develops for customers that produce electricity, gas, heat, or cooling from renewable…
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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.