Telefonica Brasil (VIV) Other Operating Expenses (2009 - 2026)
Telefonica Brasil's Other Operating Expenses was -$1.83 million in the quarter ended Jun 30, 2026, compared with -$20.62 million a year earlier.
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Analysis
Telefonica Brasil (VIV) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Telefonica Brasil's Other Operating Expenses was $99.11 million through Jun 30, 2026, up 51.7% year-over-year; for the year ended Dec 31, 2025, it was $60.76 million, up 2.7% from the prior year.
- In earlier years, Other Operating Expenses was $59.16 million in the year ended Dec 31, 2024 (-54.3%), $129.34 million in the year ended Dec 31, 2023 (+15.5%), $111.94 million in the year ended Dec 31, 2022 (-68.7%) and $357.96 million in the year ended Dec 31, 2021.
- Quarterly Other Operating Expenses has moved between -$26.15 million (the quarter ended Mar 31, 2024) and $98.07 million (the quarter ended Dec 31, 2021) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in two of the last four quarters, with growth averaging 28.7%.
- The best year-over-year quarter for Other Operating Expenses over five years was the quarter ended Sep 30, 2025 (growth of 177.3%); the worst was the quarter ended Sep 30, 2024 (a decline of 74.7%).
- Per Business Quant data, VIV's Other Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was -$3.62 million (quarter ended Mar 31, 2026), $63.86 million (quarter ended Dec 31, 2025) and $40.7 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 182.00 Bn | 145.12 Bn | 27.03 Bn |
| 2 | T-Mobile US | 166.59 Bn | 151.34 Bn | 14.76 Bn |
| 3 | At&T | 152.55 Bn | 84.51 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 148.28 Bn | 140.01 Bn | 318.12 Mn |
| 5 | Comcast | 78.71 Bn | 42.78 Bn | - |
| 6 | Vodafone Group Public | 38.12 Bn | 7.51 Bn | - |
| 7 | Chunghwa Telecom | 36.87 Bn | 28.88 Bn | 728.80 Mn |
| 8 | EchoStar | 26.90 Bn | 17.99 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.87 Bn | 14.89 Bn | 1.42 Bn |
| 10 | Bce | 18.57 Bn | 16.69 Bn | 3.38 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();