MYR Group (MYRG) Fair Value & Analysis
Industrials · US · Market cap $7.0B
Analysis
MYR Group (MYRG) currently trades at $468.00, while our model-based Fair Value estimate is $159.70 — implying the stock looks roughly 65.9% overvalued today. We read business quality at 95/100 (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
MYR Group Inc., through its subsidiaries, provides electrical construction services in the United States and Canada. The company operates through two segments: Transmission and Distribution, and Commercial and Industrial. Its Transmission and Distribution segment offers a range of services on electric transmission and distribution networks, and substation facilities, including design, engineering, procurement, construction, upgrade, maintenance, and repair services with primary focus on construction, maintenance, and repair to customers in the electric utility industry; and services, including construction and maintenance of high voltage transmission lines, substations, and lower voltage underground and overhead distribution systems, clean energy projects, and electric vehicle charging infrastructure services, as well as emergency restoration services in response to hurricane, wildfire, ice storm, or other related damages. This segment serves as prime contractor to customers, such a…
Open the full interactive analysis →
Similar stocks
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.