Telefonica Brasil (VIV) Current Taxes (2009 - 2026)
Telefonica Brasil (VIV) posted Current Taxes of $111,631 for the quarter ended Jun 30, 2026, up 5.3% from $105,983 a year earlier and up 0.1% 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 $111,662, up 1.7% from the prior year.
- Annual Current Taxes shows a five-year compound annual growth rate of -18.7% (years ended Dec 2020 to Dec 2025).
- In prior years, Telefonica Brasil's Current Taxes was $109,782 in the year ended Dec 31, 2024 (-99.1%), $12.77 million in the year ended Dec 31, 2023, $582,427 in the year ended Dec 31, 2022 (+2.2%) and $569,735 in the year ended Dec 31, 2021 (+81.7%).
- Quarterly Current Taxes has run from a low of $104,954 in the quarter ended Mar 31, 2025 to a high of $110.4 million in the quarter ended Jun 30, 2023 over five years.
- On a year-over-year basis, Current Taxes has increased in each of the last three quarters, with an average decline of 48.1% over the last seven quarters.
- The strongest year-over-year quarter for Current Taxes in the past five years was the quarter ended Dec 31, 2021, with growth of 75.4%; the weakest was the quarter ended Jun 30, 2024, with a decline of 99.6%.
- According to Business Quant data, Current Taxes for the three prior quarters was $111,533 (quarter ended Mar 31, 2026), $111,662 (quarter ended Dec 31, 2025) and $108,837 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | - |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | - |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | - |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | - |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | - |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 180.16 Mn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | - |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | - |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | 115.67 Mn |
| 10 | Telefonica Brasil | 18.28 Bn | 12.27 Bn | 1.42 Bn | 111,631.29 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111,631.29 |
| Mar 31, 2026 | 111,532.94 |
| Dec 31, 2025 | 111,661.66 |
| Sep 30, 2025 | 108,836.69 |
| Jun 30, 2025 | 105,982.94 |
| Mar 31, 2025 | 104,954.40 |
| Dec 31, 2024 | 109,781.66 |
| Sep 30, 2024 | 7.98 Mn |
| Jun 30, 2024 | 415,614.52 |
| Mar 31, 2024 | 474,023.83 |
| Dec 31, 2023 | 12.77 Mn |
| Sep 30, 2023 | 629,933.10 |
| Jun 30, 2023 | 110.40 Mn |
| Dec 31, 2022 | 582,427.06 |
| Dec 31, 2021 | 550,035.74 |
| Dec 31, 2020 | 313,585.69 |
| Sep 30, 2020 | -238.08 Mn |
| Jun 30, 2020 | -155.21 Mn |
| Mar 31, 2020 | -96.60 Mn |
| Dec 31, 2019 | 1.60 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();