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GCDI S.A (TGLTY) Fair Value & Analysis

Real Estate · US · Market cap $9.6M

Price$0.0200
Fair Value$0.0206
Upside+2.9%
Quality95/100
Evidence: Low Range $0.0190 – $0.0217

Fair value as of: Jun 26, 2026

Analysis

GCDI S.A (TGLTY) currently trades at $0.0200, while our model-based Fair Value estimate is $0.0206 — implying the stock looks roughly 2.9% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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: low) — always confirm before acting.

About the company

GCDI S.A. operates as a construction company in Argentina. It operates in Construction and Services, and Real Estate Development segments. The company develops and constructs projects in Buenos Aires and Rosario, as well as in Montevideo, Uruguay. It also constructs office buildings, residential towers, shopping malls, and art centers, as well as undertakes industrial warehouses and other projects. In addition, it offers urban hygiene and waste management services. The company was formerly known as TGLT S.A. and changed its name to GCDI S.A. in June 2022. The company was incorporated in 2005 and is based in Buenos Aires, Argentina.

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Frequently asked questions

Is GCDI S.A (TGLTY) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0206 versus a price of $0.0200 — about +3% (undervalued). Model-based estimate, not financial advice.
What is the fair value of TGLTY?
Our 21-model fair value for GCDI S.A is $0.0206 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0200.
What is the quality score of TGLTY?
GCDI 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.