Telefonica Brasil (VIV) EPS (Diluted) (2018 - 2026)
Telefonica Brasil (VIV) posted EPS (Diluted) of $0.19 for the quarter ended Jun 30, 2026, down 9.2% from $0.21 a year earlier but up 29.7% from the prior quarter.
Telefonica Brasil (VIV) EPS (Diluted) (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Telefonica Brasil was $0.77, down 15.5% year-over-year; for the year ended Dec 31, 2025, it was $0.68, down 25.9% from the prior year.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of -3.9% (years ended Dec 2020 to Dec 2025).
- In prior years, Telefonica Brasil's EPS (Diluted) was $0.92 in the year ended Dec 31, 2024 (+2.7%), $0.90 in the year ended Dec 31, 2023 (+27.1%), $0.71 in the year ended Dec 31, 2022 (-31.6%) and $1.04 in the year ended Dec 31, 2021 (+23.7%).
- Quarterly EPS (Diluted) has run from a low of $0.14 in the quarter ended Jun 30, 2022 to a high of $0.42 in the quarter ended Dec 31, 2021 over five years.
- On a year-over-year basis, EPS (Diluted) has declined in each of the last three quarters, with an average decline of 3.5% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was the quarter ended Dec 31, 2021, with growth of 96.7%; the weakest was the quarter ended Dec 31, 2022, with a decline of 54.6%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $0.15 (quarter ended Mar 31, 2026), $0.22 (quarter ended Dec 31, 2025) and $0.31 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.14 Bn | 158.48 Bn | 27.05 Bn | 1.25 |
| 2 | T-Mobile US | 180.68 Bn | 163.11 Bn | 15.13 Bn | 3.22 |
| 3 | At&T | 148.63 Bn | 90.09 Bn | 26.22 Bn | 0.12 |
| 4 | Grupo Televisa, S.A.B | 147.33 Bn | 147.33 Bn | 960.50 Mn | 0.00 |
| 5 | Comcast | 87.13 Bn | 52.92 Bn | - | 0.97 |
| 6 | Chunghwa Telecom | 37.89 Bn | 29.90 Bn | 728.80 Mn | 0.46 |
| 7 | Vodafone Group Public | 37.72 Bn | 7.12 Bn | - | - |
| 8 | EchoStar | 29.40 Bn | 10.44 Bn | 647.20 Mn | 7.92 |
| 9 | Bce | 19.97 Bn | 17.97 Bn | 2.79 Bn | 0.48 |
| 10 | Telefonica Brasil | 18.69 Bn | 12.71 Bn | 1.42 Bn | 0.19 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.19 |
| Mar 31, 2026 | 0.15 |
| Dec 31, 2025 | 0.22 |
| Sep 30, 2025 | 0.31 |
| Jun 30, 2025 | 0.21 |
| Mar 31, 2025 | 0.16 |
| Dec 31, 2024 | 0.27 |
| Sep 30, 2024 | 0.27 |
| Jun 30, 2024 | 0.21 |
| Mar 31, 2024 | 0.16 |
| Dec 31, 2023 | 0.29 |
| Sep 30, 2023 | 0.27 |
| Jun 30, 2023 | 0.20 |
| Mar 31, 2023 | 0.14 |
| Dec 31, 2022 | 0.19 |
| Sep 30, 2022 | 0.25 |
| Jun 30, 2022 | 0.14 |
| Dec 31, 2021 | 0.42 |
| Sep 30, 2021 | 0.23 |
| Jun 30, 2021 | 0.23 |
Telefonica Brasil EPS (Diluted) 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=eps-diluted&ticker=VIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();