Telefonica Brasil (VIV) Current Taxes (2009 - 2026)
Telefonica Brasil (VIV) posted Current Taxes of $109,036 for the quarter ended Jun 30, 2026, down 0.4% from $109,521 a year earlier and down 2.2% from the prior quarter.
Telefonica Brasil (VIV) Current Taxes (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Telefonica Brasil's Current Taxes came in at $276.87 million, up 7.9% from the prior year.
- Annual Current Taxes shows a five-year compound annual growth rate of -2.2% (years ended Dec 2020 to Dec 2025).
- In prior years, Telefonica Brasil's Current Taxes was $256.71 million in the year ended Dec 31, 2024 (-22.4%), $331.02 million in the year ended Dec 31, 2023 (+59.4%), $207.68 million in the year ended Dec 31, 2022 (-22.1%) and $266.63 million in the year ended Dec 31, 2021 (-13.9%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Current Taxes since the quarter ended Mar 31, 2025.
- On a year-over-year basis, Current Taxes increased in two of the last seven quarters, with an average decline of 40.9%.
- The strongest year-over-year quarter for Current Taxes in the past five years was the quarter ended Dec 31, 2023, with growth of 59.4%; the weakest was the quarter ended Jun 30, 2025, with a decline of 99.7%.
- According to Business Quant data, Current Taxes for the three prior quarters was $111,512 (quarter ended Mar 31, 2026), $276.87 million (quarter ended Dec 31, 2025) and $111,431 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.19 Bn | 159.83 Bn | 27.05 Bn | - |
| 2 | T-Mobile US | 180.63 Bn | 163.07 Bn | 15.13 Bn | - |
| 3 | At&T | 149.48 Bn | 106.93 Bn | 26.22 Bn | - |
| 4 | Grupo Televisa, S.A.B | 138.76 Bn | 131.89 Bn | 960.50 Mn | - |
| 5 | Comcast | 89.06 Bn | 55.02 Bn | - | - |
| 6 | Chunghwa Telecom | 38.69 Bn | 31.18 Bn | 728.80 Mn | 214.93 Mn |
| 7 | Vodafone Group Public | 37.39 Bn | 5.63 Bn | - | 595.39 Mn |
| 8 | EchoStar | 29.07 Bn | 10.15 Bn | 647.20 Mn | - |
| 9 | Bce | 19.98 Bn | 18.22 Bn | 11.61 Bn | 78.92 Mn |
| 10 | Telefonica Brasil | 19.21 Bn | 13.23 Bn | 1.42 Bn | 109,035.74 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109,035.74 |
| Mar 31, 2026 | 111,512.16 |
| Dec 31, 2025 | 276.87 Mn |
| Sep 30, 2025 | 111,430.55 |
| Jun 30, 2025 | 109,521.02 |
| Mar 31, 2025 | 106,806.07 |
| Dec 31, 2024 | 256.71 Mn |
| Sep 30, 2024 | 8.14 Mn |
| Jun 30, 2024 | 41.29 Mn |
| Mar 31, 2024 | 467,481.71 |
| Dec 31, 2023 | 331.02 Mn |
| Sep 30, 2023 | 610,793.16 |
| Jun 30, 2023 | 112.60 Mn |
| Dec 31, 2022 | 207.68 Mn |
| Dec 31, 2021 | 266.63 Mn |
| Dec 31, 2020 | 309.67 Mn |
| Sep 30, 2020 | 17.05 Mn |
| Jun 30, 2020 | 17.77 Mn |
| Mar 31, 2020 | 16.75 Mn |
| Dec 31, 2019 | 283.84 Mn |
Telefonica Brasil Current Taxes API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=current-taxes&ticker=VIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "ticker": "VIV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=current-taxes&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();