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TIM S.A (TIMB) Fair Value & Analysis

Communication Services · US · Market cap $10.3B

Price$21.65
Fair Value$38.19
Upside+76.4%
Quality95/100
Evidence: High Range $28.64 – $47.73

Fair value as of: Jun 24, 2026

Analysis

TIM S.A (TIMB) currently trades at $21.65, while our model-based Fair Value estimate is $38.19 — implying the stock looks roughly 76.4% undervalued today. We read business quality at 95/100 (high quality), in the Communication Services 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

TIM S.A. engages in the telecommunications sector in Brazil. It offers landline switched telephone services in local, national, and international long-distance modes, as well as personal mobile and multimedia communication services. The company is based in Rio de Janeiro, Brazil. TIM S.A. is a subsidiary of TIM Brasil Serviços e Participações S.A.

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Frequently asked questions

Is TIM S.A (TIMB) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $38.19 versus a price of $21.65 — about +76% (undervalued). Model-based estimate, not financial advice.
What is the fair value of TIMB?
Our 21-model fair value for TIM S.A is $38.19 (as of Jun 24, 2026), built from audited fundamentals. The current price is $21.65.
What is the quality score of TIMB?
TIM 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.