Avista Corporation (AVA) Fair Value & Analysis
Utilities · US · Market cap $3.4B
Analysis
Avista Corporation (AVA) currently trades at $40.68, while our model-based Fair Value estimate is $34.22 — implying the stock looks roughly 15.9% overvalued today. We read business quality at 95/100 (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: high).
About the company
Avista Corporation, together with its subsidiaries, operates as an electric and natural gas utility company in the United States. It operates through two segments, Avista Utilities and Alaska Electric Light and Power Company (AEL&P). The Avista Utilities segment provides electric distribution and transmission, and natural gas distribution and transmission services in parts of eastern Washington and northern Idaho; and natural gas distribution services in parts of northeastern and southwestern Oregon, as well as generates electricity in Washington, Idaho, Oregon, and Montana. This segment also engages in the supply of electricity to customers in Montana; and wholesale purchase and sale of electricity and natural gas. The Alaska Electric Light and Power Company segment offers electric services in Juneau, Alaska. The company generates electricity through hydroelectric, thermal, wind, and solar generation facilities. As of December 31, 2025, it supplied retail electrical services to app…
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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.