Telefonica Brasil (VIV) Operating Leases (2009 - 2026)
Telefonica Brasil's Operating Leases was $928.68 million in the quarter ended Jun 30, 2026, up 13.4% from $818.68 million a year earlier and up 1.5% from the prior quarter.
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Analysis
Telefonica Brasil (VIV) Operating Leases (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Operating Leases at Telefonica Brasil came in at $905.75 million, up 16.4% from the prior year.
- Operating Leases shows a three-year compound annual growth rate of 10.8% (years ended Dec 2022 to Dec 2025).
- In earlier years, Operating Leases was $777.87 million in the year ended Dec 31, 2024 (-0.7%), $783.16 million in the year ended Dec 31, 2023 (+17.6%) and $665.91 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Operating Leases since the quarter ended Dec 31, 2019.
- Compared with a year earlier, Operating Leases has increased for five straight quarters, with growth averaging 7.5% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was the quarter ended Mar 31, 2026 (growth of 18.0%); the worst was the quarter ended Mar 31, 2025 (a decline of 2.8%).
- Per Business Quant data, VIV's Operating Leases in the three quarters before the quarter ended Jun 30, 2026 was $914.87 million (quarter ended Mar 31, 2026), $905.75 million (quarter ended Dec 31, 2025) and $830.31 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 191.08 Bn | 155.48 Bn | 27.03 Bn |
| 2 | T-Mobile US | 175.17 Bn | 159.92 Bn | 14.76 Bn |
| 3 | At&T | 167.81 Bn | 115.76 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn |
| 5 | Comcast | 76.40 Bn | 40.65 Bn | - |
| 6 | Chunghwa Telecom | 35.35 Bn | 31.20 Bn | 728.80 Mn |
| 7 | EchoStar | 26.08 Bn | 17.22 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 23.11 Bn | 23.62 Bn | 7.95 Mn |
| 9 | Bce | 18.79 Bn | 17.12 Bn | - |
| 10 | Telefonica Brasil | 18.18 Bn | 12.18 Bn | 1.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 928.68 Mn |
| Mar 31, 2026 | 914.87 Mn |
| Dec 31, 2025 | 905.75 Mn |
| Sep 30, 2025 | 830.31 Mn |
| Jun 30, 2025 | 818.68 Mn |
| Mar 31, 2025 | 775.28 Mn |
| Dec 31, 2024 | 777.87 Mn |
| Sep 30, 2024 | 767.81 Mn |
| Jun 30, 2024 | 807.70 Mn |
| Mar 31, 2024 | 797.98 Mn |
| Dec 31, 2023 | 783.16 Mn |
| Sep 30, 2023 | 725.24 Mn |
| Jun 30, 2023 | 780.04 Mn |
| Dec 31, 2022 | 665.91 Mn |
| Dec 31, 2019 | 1.68 Bn |
| Dec 31, 2015 | 21.44 Mn |
| Dec 31, 2014 | 9.52 Mn |
| Dec 31, 2013 | 29,349.93 |
| Sep 30, 2013 | 11.64 Mn |
| Mar 31, 2013 | 13.30 Mn |
API Access
Telefonica Brasil Operating Leases 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-leases&ticker=VIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();