Telefonica Brasil (VIV) Net Cash Flow (2009 - 2026)
Telefonica Brasil's Net Cash Flow was $667.35 million in the quarter ended Jun 30, 2026, up 195.2% from $226.08 million a year earlier and up 73.0% from the prior quarter.
Telefonica Brasil (VIV) Net Cash Flow (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Telefonica Brasil's Net Cash Flow was $609.18 million through Jun 30, 2026, up 67.0% year-over-year; for the year ended Dec 31, 2025, it came in at $61.13 million, down 86.0% from the prior year.
- Net Cash Flow shows a five-year compound annual growth rate of -33.4% (years ended Dec 2020 to Dec 2025).
- In earlier years, Net Cash Flow was $435.34 million in the year ended Dec 31, 2024 (+4.2%), $417.72 million in the year ended Dec 31, 2023, -$810.1 million in the year ended Dec 31, 2022 and $127.47 million in the year ended Dec 31, 2021 (-72.6%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Net Cash Flow since the quarter ended Dec 31, 2015.
- Compared with a year earlier, Net Cash Flow was higher in three of the last four quarters, with growth averaging 73.9%.
- Per Business Quant data, VIV's Net Cash Flow in the three quarters before the quarter ended Jun 30, 2026 was $385.85 million (quarter ended Mar 31, 2026), $43.73 million (quarter ended Dec 31, 2025) and -$487.75 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.19 Bn | 159.83 Bn | 27.05 Bn | 2.76 Bn |
| 2 | T-Mobile US | 180.63 Bn | 163.07 Bn | 15.13 Bn | 2.85 Bn |
| 3 | At&T | 149.48 Bn | 106.93 Bn | 26.22 Bn | -6.68 Bn |
| 4 | Grupo Televisa, S.A.B | 138.76 Bn | 131.89 Bn | 960.50 Mn | - |
| 5 | Comcast | 89.06 Bn | 55.02 Bn | - | -67.00 Mn |
| 6 | Chunghwa Telecom | 38.69 Bn | 31.18 Bn | 728.80 Mn | -431.62 Mn |
| 7 | Vodafone Group Public | 37.39 Bn | 5.63 Bn | - | - |
| 8 | EchoStar | 29.07 Bn | 10.15 Bn | 647.20 Mn | 12.06 Bn |
| 9 | Bce | 19.98 Bn | 18.22 Bn | 11.61 Bn | -1.46 Bn |
| 10 | Telefonica Brasil | 19.21 Bn | 13.23 Bn | 1.42 Bn | 667.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 667.35 Mn |
| Mar 31, 2026 | 385.85 Mn |
| Dec 31, 2025 | 43.73 Mn |
| Sep 30, 2025 | -487.75 Mn |
| Jun 30, 2025 | 226.08 Mn |
| Mar 31, 2025 | 253.10 Mn |
| Dec 31, 2024 | 1.70 Mn |
| Sep 30, 2024 | -116.11 Mn |
| Jun 30, 2024 | 115.95 Mn |
| Mar 31, 2024 | 478.06 Mn |
| Dec 31, 2023 | -39.26 Mn |
| Sep 30, 2023 | -174.63 Mn |
| Jun 30, 2023 | 38.13 Mn |
| Mar 31, 2023 | 566.59 Mn |
| Dec 31, 2022 | -659.64 Mn |
| Sep 30, 2022 | 549.23 Mn |
| Mar 31, 2020 | 473.00 Mn |
| Mar 31, 2019 | 184.31 Mn |
| Dec 31, 2018 | -87.32 Mn |
| Sep 30, 2018 | -714.10 Mn |
Telefonica Brasil Net Cash Flow 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=net-cash-flow&ticker=VIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();