Telefonica Brasil (VIV) Other Operating Expenses (2009 - 2026)
Telefonica Brasil (VIV) posted Other Operating Expenses of -$421.85 million for the quarter ended Jun 30, 2026, compared with -$363.62 million a year earlier.
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Analysis
Telefonica Brasil (VIV) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Telefonica Brasil was $3.84 billion, up 12.1% year-over-year; for the year ended Dec 31, 2025, it came in at $2.39 billion, down 1.1% from the prior year.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of -8.8% (years ended Dec 2020 to Dec 2025).
- In prior years, Telefonica Brasil's Other Operating Expenses was $2.42 billion in the year ended Dec 31, 2024 (-3.0%), $2.49 billion in the year ended Dec 31, 2023 (+8.5%), $2.3 billion in the year ended Dec 31, 2022 (-50.0%) and $4.6 billion in the year ended Dec 31, 2021 (+21.0%).
- Quarterly Other Operating Expenses has run from a low of -$4.67 billion in the quarter ended Dec 31, 2021 to a high of $5.1 billion in the quarter ended Dec 31, 2025 over five years.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was -$389.23 million (quarter ended Mar 31, 2026), $5.1 billion (quarter ended Dec 31, 2025) and -$452.56 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 191.94 Bn | 159.58 Bn | 27.05 Bn |
| 2 | T-Mobile US | 179.71 Bn | 162.14 Bn | 15.13 Bn |
| 3 | At&T | 147.73 Bn | 105.17 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 146.85 Bn | 139.98 Bn | 960.50 Mn |
| 5 | Comcast | 87.61 Bn | 53.57 Bn | - |
| 6 | Chunghwa Telecom | 37.88 Bn | 30.37 Bn | 728.80 Mn |
| 7 | Vodafone Group Public | 37.71 Bn | 5.95 Bn | - |
| 8 | EchoStar | 30.28 Bn | 11.36 Bn | 647.20 Mn |
| 9 | Bce | 20.18 Bn | 18.41 Bn | 11.61 Bn |
| 10 | Telefonica Brasil | 18.61 Bn | 12.64 Bn | 1.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.83 Mn |
| Mar 31, 2026 | -3.62 Mn |
| Dec 31, 2025 | 63.86 Mn |
| Sep 30, 2025 | 40.70 Mn |
| Jun 30, 2025 | -20.62 Mn |
| Mar 31, 2025 | -20.12 Mn |
| Dec 31, 2024 | 91.40 Mn |
| Sep 30, 2024 | 14.68 Mn |
| Jun 30, 2024 | -24.81 Mn |
| Mar 31, 2024 | -26.15 Mn |
| Dec 31, 2023 | 64.17 Mn |
| Sep 30, 2023 | 57.98 Mn |
| Jun 30, 2023 | 9.42 Mn |
| Mar 31, 2023 | -3.90 Mn |
| Dec 31, 2022 | 293.11 Mn |
| Sep 30, 2022 | 35.38 Mn |
| Jun 30, 2022 | 17.41 Mn |
| Sep 30, 2021 | 112.88 Mn |
| Jun 30, 2021 | 337.18 Mn |
| Mar 31, 2021 | 39.02 Mn |
API Access
Telefonica Brasil Other Operating Expenses 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=other-operating-expenses&ticker=VIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();