Telefonica Brasil (VIV) Tax Provisions (2009 - 2026)
Telefonica Brasil (VIV) posted Tax Provisions of -$62.48 million for the quarter ended Jun 30, 2026, compared with -$38.27 million a year earlier.
Telefonica Brasil (VIV) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Telefonica Brasil was $181.76 million, down 25.0% year-over-year; for the year ended Dec 31, 2025, it was $195.89 million, down 13.0% from the prior year.
- Annual Tax Provisions shows a five-year compound annual growth rate of -4.2% (years ended Dec 2020 to Dec 2025).
- In prior years, Telefonica Brasil's Tax Provisions was $225.15 million in the year ended Dec 31, 2024 (+110.4%), $107 million in the year ended Dec 31, 2023 (-28.7%), $150.14 million in the year ended Dec 31, 2022 and -$50.11 million in the year ended Dec 31, 2021.
- Quarterly Tax Provisions has run from a low of -$88.12 million in the quarter ended Jun 30, 2024 to a high of $358.99 million in the quarter ended Dec 31, 2024 over five years.
- According to Business Quant data, Tax Provisions for the three prior quarters was -$65.84 million (quarter ended Mar 31, 2026), $349.56 million (quarter ended Dec 31, 2025) and -$39.47 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.94 Bn | 159.58 Bn | 27.05 Bn | 1.50 Bn |
| 2 | T-Mobile US | 179.71 Bn | 162.14 Bn | 15.13 Bn | 1.09 Bn |
| 3 | At&T | 147.73 Bn | 105.17 Bn | 26.22 Bn | 1.39 Bn |
| 4 | Grupo Televisa, S.A.B | 146.85 Bn | 139.98 Bn | 960.50 Mn | 45.80 Mn |
| 5 | Comcast | 87.61 Bn | 53.57 Bn | - | 1.08 Bn |
| 6 | Chunghwa Telecom | 37.88 Bn | 30.37 Bn | 728.80 Mn | 85.00 Mn |
| 7 | Vodafone Group Public | 37.71 Bn | 5.95 Bn | - | - |
| 8 | EchoStar | 30.28 Bn | 11.36 Bn | 647.20 Mn | 616.85 Mn |
| 9 | Bce | 20.18 Bn | 18.41 Bn | 11.61 Bn | -540.75 Mn |
| 10 | Telefonica Brasil | 18.61 Bn | 12.64 Bn | 1.42 Bn | -62.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -62.48 Mn |
| Mar 31, 2026 | -65.84 Mn |
| Dec 31, 2025 | 349.56 Mn |
| Sep 30, 2025 | -39.47 Mn |
| Jun 30, 2025 | -38.27 Mn |
| Mar 31, 2025 | -61.35 Mn |
| Dec 31, 2024 | 358.99 Mn |
| Sep 30, 2024 | -16.96 Mn |
| Jun 30, 2024 | -88.12 Mn |
| Mar 31, 2024 | -66.25 Mn |
| Dec 31, 2023 | 213.11 Mn |
| Sep 30, 2023 | -14.65 Mn |
| Jun 30, 2023 | -53.64 Mn |
| Mar 31, 2023 | -35.62 Mn |
| Dec 31, 2022 | 250.21 Mn |
| Sep 30, 2022 | -48.20 Mn |
| Jun 30, 2022 | -32.55 Mn |
| Sep 30, 2021 | -63.02 Mn |
| Jun 30, 2021 | -51.73 Mn |
| Sep 30, 2020 | -57.81 Mn |
Telefonica Brasil Tax Provisions 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=tax-provisions&ticker=VIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();