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Carboclor S.A (CARC) Fair Value & Analysis

Basic Materials · AR · Market cap 22.3B ARS

Price20.45 ARS
Fair Value17.85 ARS
Upside-12.7%
Quality95/100
Evidence: High Range 13.39 ARS – 22.31 ARS

Fair value as of: Jun 24, 2026

Analysis

Carboclor S.A (CARC) currently trades at 20.45 ARS, while our model-based Fair Value estimate is 17.85 ARS — implying the stock looks roughly 12.7% overvalued today. We read business quality at 95/100 (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: high).

About the company

Carboclor S.A. provides port, storage, and logistics services in Argentina and internationally. The company offers loading and unloading of ships, barges, trucks, and containers; filling of drums; tanks for storing liquids; and dispatch of products in trucks, as well as produces and sells products and petroleum derivative products. It also provides port terminal customs information system; and operates tanks for the nitrogen, steam, air, and water sectors. The company was incorporated in 1920 and is headquartered in Campana, Argentina. Carboclor S.A. is a subsidiary of Ancsol S.A.

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Frequently asked questions

Is Carboclor S.A (CARC) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 17.85 ARS versus a price of 20.45 ARS — about −13% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CARC?
Our 21-model fair value for Carboclor S.A is 17.85 ARS (as of Jun 24, 2026), built from audited fundamentals. The current price is 20.45 ARS.
What is the quality score of CARC?
Carboclor S.A has a Quality Score of 95/100, 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.