Telefonica Brasil (VIV) Non Operating Interest Expenses (2009 - 2026)
Telefonica Brasil (VIV) reported Non Operating Interest Expenses of $230.31 million for the quarter ended Jun 30, 2026, up 17.5% from $196.07 million a year earlier and up 3.8% from the prior quarter.
Telefonica Brasil (VIV) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Telefonica Brasil's Non Operating Interest Expenses came in at $847.06 million, up 25.9% year-over-year; for the year ended Dec 31, 2022, it was -$757.03 million.
- By year, Non Operating Interest Expenses came in at -$452.58 million in the year ended Dec 31, 2021, -$356.55 million in the year ended Dec 31, 2020, -$474.66 million in the year ended Dec 31, 2019 and -$600.33 million in the year ended Dec 31, 2018.
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Non Operating Interest Expenses since the quarter ended Jun 30, 2023.
- Year over year, Non Operating Interest Expenses gained in four of the last six quarters, with growth averaging 12.1%.
- The high point for year-over-year Non Operating Interest Expenses in five years was the quarter ended Jun 30, 2025 (growth of 46.4%); the low point was the quarter ended Jun 30, 2023 (a decline of 61.1%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 1.99 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 | 1.88 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | -111.57 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | 1.05 Bn |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | -3.33 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 | 230.31 Mn |
| 10 | Bce | 18.40 Bn | 16.72 Bn | - | -339.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 230.31 Mn |
| Mar 31, 2026 | 221.80 Mn |
| Sep 30, 2025 | 198.88 Mn |
| Jun 30, 2025 | 196.07 Mn |
| Mar 31, 2025 | 183.22 Mn |
| Sep 30, 2024 | 159.67 Mn |
| Jun 30, 2024 | 133.91 Mn |
| Mar 31, 2024 | 199.51 Mn |
| Sep 30, 2023 | 223.19 Mn |
| Jun 30, 2023 | 238.07 Mn |
| Mar 31, 2023 | 209.52 Mn |
| Dec 31, 2022 | -1.33 Bn |
| Sep 30, 2022 | -216.09 Mn |
| Jun 30, 2022 | 611.60 Mn |
| Sep 30, 2021 | -94.71 Mn |
| Jun 30, 2021 | -166.50 Mn |
| Sep 30, 2020 | -84.48 Mn |
| Jun 30, 2020 | -92.61 Mn |
| Mar 31, 2020 | -111.26 Mn |
| Sep 30, 2019 | -163.20 Mn |
Telefonica Brasil Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=VIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();