Telefonica Brasil (VIV) Non Operating Interest Expenses (2009 - 2026)
Telefonica Brasil (VIV) reported Non Operating Interest Expenses of -$141 million for the quarter ended Jun 30, 2026, compared with -$121.85 million a year earlier.
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 $789.54 million, up 122.4% year-over-year; for the year ended Dec 31, 2022, it was $772.82 million, up 70.8% from the prior year.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -1.5% (years ended Dec 2017 to Dec 2022).
- By year, Non Operating Interest Expenses came in at $452.58 million in the year ended Dec 31, 2021 (+19.8%), $377.86 million in the year ended Dec 31, 2020 (-23.9%), $496.35 million in the year ended Dec 31, 2019 (-21.3%) and $630.3 million in the year ended Dec 31, 2018 (-24.4%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Non Operating Interest Expenses since the quarter ended Sep 30, 2022.
- Year over year, Non Operating Interest Expenses gained in two of the last four quarters, with growth averaging 101.2%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.19 Bn | 159.83 Bn | 27.05 Bn | 1.95 Bn |
| 2 | T-Mobile US | 180.63 Bn | 163.07 Bn | 15.13 Bn | - |
| 3 | At&T | 149.48 Bn | 106.93 Bn | 26.22 Bn | 1.98 Bn |
| 4 | Grupo Televisa, S.A.B | 138.76 Bn | 131.89 Bn | 960.50 Mn | 308.49 Mn |
| 5 | Comcast | 89.06 Bn | 55.02 Bn | - | 962.00 Mn |
| 6 | Chunghwa Telecom | 38.69 Bn | 31.18 Bn | 728.80 Mn | -3.33 Mn |
| 7 | Vodafone Group Public | 37.39 Bn | 5.63 Bn | - | - |
| 8 | EchoStar | 29.07 Bn | 10.15 Bn | 647.20 Mn | -312.23 Mn |
| 9 | Bce | 19.98 Bn | 18.22 Bn | 11.61 Bn | -984.36 Mn |
| 10 | Telefonica Brasil | 19.21 Bn | 13.23 Bn | 1.42 Bn | -141.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -141.00 Mn |
| Mar 31, 2026 | 221.80 Mn |
| Sep 30, 2025 | 830.59 Mn |
| Jun 30, 2025 | -121.85 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 | 187.14 Mn |
| 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();