Telefonica Brasil (VIV) Operating Expenses (2009 - 2026)
Telefonica Brasil (VIV) recorded Operating Expenses of -$904.61 million in the quarter ended Jun 30, 2026, compared with -$772.64 million a year earlier.
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Analysis
Telefonica Brasil (VIV) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Telefonica Brasil's Operating Expenses came in at $9.13 billion as of Jun 30, 2026, up 13.8% year-over-year; for the year ended Dec 31, 2025, it came in at $9.28 billion, up 13.5% from the prior year.
- Across earlier years, Operating Expenses came in at $8.18 billion in the year ended Dec 31, 2024 (-9.7%), $9.05 billion in the year ended Dec 31, 2023 (+13.4%), $7.99 billion in the year ended Dec 31, 2022 (+10.3%) and $7.24 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Operating Expenses since the quarter ended Dec 31, 2021.
- Per Business Quant, the preceding three quarters came in at -$877.62 million (quarter ended Mar 31, 2026), $11.65 billion (quarter ended Dec 31, 2025) and -$740.79 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.08 Bn | 155.48 Bn | 27.03 Bn | 27.07 Bn |
| 2 | T-Mobile US | 175.17 Bn | 159.92 Bn | 14.76 Bn | 17.30 Bn |
| 3 | At&T | 167.81 Bn | 115.76 Bn | 25.82 Bn | 24.52 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | -117.85 Mn |
| 5 | Comcast | 76.40 Bn | 40.65 Bn | - | 24.78 Bn |
| 6 | Chunghwa Telecom | 35.35 Bn | 31.20 Bn | 728.80 Mn | 309.31 Mn |
| 7 | EchoStar | 26.08 Bn | 17.22 Bn | 1.65 Bn | 3.06 Bn |
| 8 | AST SpaceMobile | 23.11 Bn | 23.62 Bn | 7.95 Mn | 329.10 Mn |
| 9 | Bce | 18.79 Bn | 17.12 Bn | - | -2.51 Bn |
| 10 | Telefonica Brasil | 18.18 Bn | 12.18 Bn | 1.42 Bn | -904.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -904.61 Mn |
| Mar 31, 2026 | -877.62 Mn |
| Dec 31, 2025 | 11.65 Bn |
| Sep 30, 2025 | -740.79 Mn |
| Jun 30, 2025 | -772.64 Mn |
| Mar 31, 2025 | -745.68 Mn |
| Dec 31, 2024 | 10.26 Bn |
| Sep 30, 2024 | -712.82 Mn |
| Jun 30, 2024 | -775.01 Mn |
| Mar 31, 2024 | -832.51 Mn |
| Dec 31, 2023 | 11.31 Bn |
| Sep 30, 2023 | -725.72 Mn |
| Jun 30, 2023 | -770.37 Mn |
| Mar 31, 2023 | -737.89 Mn |
| Dec 31, 2022 | 9.99 Bn |
| Sep 30, 2022 | -653.24 Mn |
| Jun 30, 2022 | -752.40 Mn |
| Dec 31, 2021 | -1.18 Bn |
| Sep 30, 2021 | -564.72 Mn |
| Jun 30, 2021 | -540.36 Mn |
API Access
Telefonica Brasil 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=operating-expenses&ticker=VIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();