Energoaparatura SA (ENP) Fair Value & Analysis
Industrials · PL · Market cap 70.8M PLN
Fair value as of: Jun 24, 2026
Analysis
Energoaparatura SA (ENP) currently trades at 3.62 PLN, while our model-based Fair Value estimate is 5.07 PLN — implying the stock looks roughly 40.1% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Energoaparatura SA operates in construction and assembly services business in Poland. The company offers electrical power services, including construction, repair, and modernization of HV, MV, and LV stations and distribution boards, as well as construction and execution of electrical installations. It also provides a range of services related to renewable and ecological energy sources, such as construction of MV/HV GPO stations, HV and MV cable lines, and fiber optic lines, as well as control, measurement, and commissioning works. In addition, the company offers electrical power equipment that include automation devices, signals, relays, service cases, converters, accessories, ENAP program, and ENAP express; mining equipment comprising compressor and transformer units, contractor starters, sensors, signaling and controlling devices, and related products; and mining and power cables and wires. Further, it provides mining equipment services, such as renovation, repair, rental, and le…
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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.