Telefonica Brasil (VIV) Long-Term Debt Repayments (2009 - 2025)
Telefonica Brasil (VIV) reported Long-Term Debt Repayments of $1.77 billion for the quarter ended Dec 31, 2025, up 71.8% from $1.03 billion a year earlier.
Powered by 
Analysis
Telefonica Brasil (VIV) Long-Term Debt Repayments (2009 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Telefonica Brasil posted Long-Term Debt Repayments of $937.34 million, up 43.7% from the prior year.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -2.1% (years ended Dec 2020 to Dec 2025).
- By year, Long-Term Debt Repayments came in at $652.23 million in the year ended Dec 31, 2024 (-26.9%), $892.17 million in the year ended Dec 31, 2023 (-34.2%), $1.36 billion in the year ended Dec 31, 2022 (+87.1%) and $724.45 million in the year ended Dec 31, 2021 (-30.3%).
- The figure for the quarter ended Dec 31, 2025 ranks as the highest quarterly Long-Term Debt Repayments in data going back to the quarter ended Sep 30, 2009.
- Per Business Quant data, the three quarters before the quarter ended Dec 31, 2025 came in at -$442.77 million (quarter ended Sep 30, 2025), -$183.13 million (quarter ended Jun 30, 2025) and -$148.42 million (quarter ended Mar 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn | 3.30 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn | 1.70 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn | 5.28 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn | - |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | 3.06 Bn |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | -23.30 Mn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - | - |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn | 6.39 Bn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn | -5.22 Bn |
| 10 | Telefonica Brasil | 18.40 Bn | 12.42 Bn | 1.42 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.77 Bn |
| Sep 30, 2025 | -442.77 Mn |
| Jun 30, 2025 | -183.13 Mn |
| Mar 31, 2025 | -148.42 Mn |
| Dec 31, 2024 | 1.03 Bn |
| Sep 30, 2024 | -167.27 Mn |
| Jun 30, 2024 | -176.97 Mn |
| Mar 31, 2024 | -131.55 Mn |
| Dec 31, 2023 | 1.55 Bn |
| Sep 30, 2023 | -344.28 Mn |
| Jun 30, 2023 | -182.41 Mn |
| Mar 31, 2023 | -118.61 Mn |
| Mar 31, 2020 | -218.62 Mn |
| Mar 31, 2019 | -200.18 Mn |
| Dec 31, 2018 | 1.42 Bn |
| Sep 30, 2018 | -262.95 Mn |
| Jun 30, 2018 | -258.67 Mn |
| Mar 31, 2018 | -172.96 Mn |
| Jun 30, 2017 | -202.93 Mn |
| Mar 31, 2017 | -182.29 Mn |
API Access
Telefonica Brasil Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=VIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();