Herkules S.A (HRS) Fair Value & Analysis
Industrials · PL · Market cap 48.4M PLN
Fair value as of: Jun 25, 2026
Analysis
Herkules S.A (HRS) currently trades at 1.59 PLN, while our model-based Fair Value estimate is 3.10 PLN — implying the stock looks roughly 95.0% undervalued today. We read business quality at 92/100 (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: medium) — always confirm before acting.
About the company
Herkules S.A. engages in the hoisting equipment rental and oversize load shipping activities in Poland. The company rents tower, self-propelled, cravler, and tracked cranes. It also provides services related to the construction of finished buildings; undertakes construction of cable lines and overhead power lines, optical fiber cable runs, power substations, and electrical installations; and installs guaranteed power supplies, such as power generators and UPS systems. In addition, the company offers construction services for the telecommunication sector and wind farms; and manufactures pretensioned concrete and reinforced concrete rings. The company was formerly known as Gastel Zurawie S.A. and changed its name to Herkules S.A. in December 2011. Herkules S.A. was incorporated in 2006 and is headquartered in Warsaw, Poland.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Herkules S.A (HRS) undervalued?
What is the fair value of HRS?
What is the quality score of HRS?
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.