Telefonica Brasil (VIV) Assets (2009 - 2026)
Telefonica Brasil (VIV) reported Assets of $3.95 billion for the quarter ended Jun 30, 2026, up 14.8% from $3.44 billion a year earlier and up 1.4% from the prior quarter.
Telefonica Brasil (VIV) Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Telefonica Brasil posted Assets of $3.45 billion, up 18.1% from the prior year.
- Assets has a five-year compound annual growth rate of -29.7% (years ended Dec 2020 to Dec 2025).
- By year, Assets came in at $2.92 billion in the year ended Dec 31, 2024 (-0.9%), $2.94 billion in the year ended Dec 31, 2023 (-87.0%), $22.64 billion in the year ended Dec 31, 2022 (+5.4%) and $21.48 billion in the year ended Dec 31, 2021 (+6.6%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Assets since the quarter ended Dec 31, 2022.
- Year over year, Assets has now increased in each of the last five quarters, with growth averaging 8.4% over the last eight quarters.
- The high point for year-over-year Assets in five years was the quarter ended Mar 31, 2026 (growth of 23.0%); the low point was the quarter ended Jun 30, 2023 (a decline of 87.6%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $3.9 billion (quarter ended Mar 31, 2026), $3.45 billion (quarter ended Dec 31, 2025) and $3.19 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 182.00 Bn | 145.12 Bn | 27.03 Bn | 410.19 Bn |
| 2 | T-Mobile US | 166.59 Bn | 151.34 Bn | 14.76 Bn | 213.55 Bn |
| 3 | At&T | 152.55 Bn | 84.51 Bn | 25.82 Bn | 428.36 Bn |
| 4 | Grupo Televisa, S.A.B | 148.28 Bn | 140.01 Bn | 318.12 Mn | 13.50 Bn |
| 5 | Comcast | 78.71 Bn | 42.78 Bn | - | 257.55 Bn |
| 6 | Vodafone Group Public | 38.12 Bn | 7.51 Bn | - | 148.89 Bn |
| 7 | Chunghwa Telecom | 36.87 Bn | 28.88 Bn | 728.80 Mn | 17.37 Bn |
| 8 | EchoStar | 26.90 Bn | 17.99 Bn | 1.65 Bn | 39.43 Bn |
| 9 | Telefonica Brasil | 20.87 Bn | 14.89 Bn | 1.42 Bn | 24.88 Bn |
| 10 | Bce | 18.57 Bn | 16.69 Bn | 3.38 Bn | 57.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.88 Bn |
| Mar 31, 2026 | 24.79 Bn |
| Dec 31, 2025 | 23.39 Bn |
| Sep 30, 2025 | 23.28 Bn |
| Jun 30, 2025 | 23.09 Bn |
| Mar 31, 2025 | 21.99 Bn |
| Dec 31, 2024 | 20.22 Bn |
| Sep 30, 2024 | 22.76 Bn |
| Jun 30, 2024 | 22.56 Bn |
| Mar 31, 2024 | 24.70 Bn |
| Dec 31, 2023 | 24.89 Bn |
| Sep 30, 2023 | 23.84 Bn |
| Jun 30, 2023 | 24.75 Bn |
| Dec 31, 2022 | 22.54 Bn |
| Sep 30, 2022 | 22.68 Bn |
| Jun 30, 2022 | 23.16 Bn |
| Dec 31, 2021 | 20.76 Bn |
| Sep 30, 2021 | 20.92 Bn |
| Jun 30, 2021 | 22.95 Bn |
| Mar 31, 2021 | 19.28 Bn |
Telefonica Brasil Assets 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=assets&ticker=VIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();