Telefonica Brasil (VIV) Price to Earnings (2009 - 2026)
Telefonica Brasil's Price to Earnings was 16.89 in the quarter ended Jun 30, 2026, down 7.1% from 18.17 a year earlier and down 22.1% from the prior quarter.
Telefonica Brasil (VIV) Price to Earnings (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Earnings at Telefonica Brasil came in at 16.56, up 28.8% from the prior year.
- In earlier years, Price to Earnings was 12.86 in the year ended Dec 31, 2024 (-27.7%), 17.80 in the year ended Dec 31, 2023 (+16.2%), 15.32 in the year ended Dec 31, 2022 (+22.4%) and 12.52 in the year ended Dec 31, 2021 (-26.0%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Price to Earnings since the quarter ended Mar 31, 2025.
- Compared with a year earlier, Price to Earnings was higher in five of the last eight quarters, with growth averaging 13.4%.
- The best year-over-year quarter for Price to Earnings over five years was the quarter ended Dec 31, 2023 (growth of 67.5%); the worst was the quarter ended Dec 31, 2024 (a decline of 32.6%).
- Per Business Quant data, VIV's Price to Earnings in the three quarters before the quarter ended Jun 30, 2026 was 21.69 (quarter ended Mar 31, 2026), 17.03 (quarter ended Dec 31, 2025) and 19.45 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn |
| 10 | Bce | 18.40 Bn | 16.72 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.89 |
| Mar 31, 2026 | 21.69 |
| Dec 31, 2025 | 17.03 |
| Sep 30, 2025 | 19.45 |
| Jun 30, 2025 | 18.17 |
| Mar 31, 2025 | 13.91 |
| Dec 31, 2024 | 12.04 |
| Sep 30, 2024 | 16.30 |
| Jun 30, 2024 | 13.00 |
| Mar 31, 2024 | 16.11 |
| Dec 31, 2023 | 17.85 |
| Sep 30, 2023 | 15.73 |
| Jun 30, 2023 | 17.33 |
| Mar 31, 2023 | 15.64 |
| Dec 31, 2022 | 10.66 |
| Sep 30, 2022 | 10.93 |
| Jun 30, 2022 | 13.41 |
| Dec 31, 2021 | 12.62 |
| Sep 30, 2021 | 14.27 |
| Jun 30, 2021 | 16.11 |
Telefonica Brasil Price to Earnings 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=price-to-earnings&ticker=VIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();