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Holcim (Argentina) S.A (HARG) Fair Value & Analysis

Basic Materials · AR · Market cap 664B ARS

Price1,825 ARS
Fair Value458.55 ARS
Upside-74.9%
Quality94/100
Evidence: Low Range 313.23 ARS – 603.87 ARS

Fair value as of: Jun 25, 2026

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Analysis

Holcim (Argentina) S.A (HARG) currently trades at 1,825 ARS, while our model-based Fair Value estimate is 458.55 ARS — implying the stock looks roughly 74.9% overvalued today. We read business quality at 94/100 (high quality), in the Basic Materials 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: low).

About the company

Holcim (Argentina) S.A. operates in the construction material industry in Argentina. It engages in the production of cement, concrete, stone aggregates, liquid paints, and membranes. The company also offers adhesives, plasters, additives, repairers, limes, and hydraulic binders. It sells its products under the Dissents, Geocycle, Tector, and Quimexur brand names. The company was founded in 1930 and is headquartered in Córdoba, Argentina. Holcim (Argentina) S.A. is a subsidiary of Holcim Investments (Spain) SL.

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Frequently asked questions

Is Holcim (Argentina) S.A (HARG) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 458.55 ARS versus a price of 1,825 ARS — about −75% (overvalued). Model-based estimate, not financial advice.
What is the fair value of HARG?
Our 21-model fair value for Holcim (Argentina) S.A is 458.55 ARS (as of Jun 25, 2026), built from audited fundamentals. The current price is 1,825 ARS.
What is the quality score of HARG?
Holcim (Argentina) S.A has a Quality Score of 94/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.