Telefonica Brasil (VIV) Enterprise Value (2009 - 2026)
Telefonica Brasil (VIV) recorded Enterprise Value of $19.33 billion in the quarter ended Jun 30, 2026, up 14.6% from $16.87 billion a year earlier but down 18.4% from the prior quarter.
Telefonica Brasil (VIV) Enterprise Value (2009 - 2026) Analysis & Trends
On a TTM basis, Telefonica Brasil's Enterprise Value came in at $15.02 billion as of Jun 30, 2026, up 14.8% year-over-year; for the year ended Dec 31, 2025, it was $17.63 billion, up 58.4% from the prior year.
- Annual Enterprise Value has a five-year compound annual growth rate of 3.4% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Enterprise Value came in at $11.13 billion in the year ended Dec 31, 2024 (-35.3%), $17.2 billion in the year ended Dec 31, 2023 (+50.0%), $11.46 billion in the year ended Dec 31, 2022 (-13.8%) and $13.3 billion in the year ended Dec 31, 2021 (-10.9%).
- Quarterly Enterprise Value has ranged from $9.98 billion in the quarter ended Sep 30, 2022 to $23.69 billion in the quarter ended Mar 31, 2026 over the past five years.
- On a year-over-year basis, Enterprise Value has increased for five consecutive quarters, with growth averaging 23.3% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 85.3% in the quarter ended Mar 31, 2026, against a decline of 35.3% in the quarter ended Dec 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $23.69 billion (quarter ended Mar 31, 2026), $17.63 billion (quarter ended Dec 31, 2025) and $19.49 billion (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.33 Bn |
| Mar 31, 2026 | 23.69 Bn |
| Dec 31, 2025 | 17.63 Bn |
| Sep 30, 2025 | 19.49 Bn |
| Jun 30, 2025 | 16.87 Bn |
| Mar 31, 2025 | 12.78 Bn |
| Dec 31, 2024 | 11.13 Bn |
| Sep 30, 2024 | 15.75 Bn |
| Jun 30, 2024 | 12.24 Bn |
| Mar 31, 2024 | 15.35 Bn |
| Dec 31, 2023 | 17.20 Bn |
| Sep 30, 2023 | 13.29 Bn |
| Jun 30, 2023 | 14.10 Bn |
| Mar 31, 2023 | 12.59 Bn |
| Dec 31, 2022 | 11.46 Bn |
| Sep 30, 2022 | 9.98 Bn |
| Jun 30, 2022 | 12.82 Bn |
| Dec 31, 2021 | 13.34 Bn |
| Sep 30, 2021 | 10.57 Bn |
| Jun 30, 2021 | 12.76 Bn |
Telefonica Brasil Enterprise Value 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=enterprise-value&ticker=VIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();