Telefonica Brasil (VIV) Receivables (2009 - 2026)
Telefonica Brasil's Receivables came in at $96.74 million for the quarter ended Jun 30, 2026, up 95.0% from $49.62 million a year earlier and up 30.1% from the prior quarter.
Telefonica Brasil (VIV) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Telefonica Brasil's Receivables was $2.03 billion, up 19.1% from the prior year.
- Receivables carries a five-year compound annual growth rate of 44.0% (years ended Dec 2020 to Dec 2025).
- Going back by year, Receivables was $1.7 billion in the year ended Dec 31, 2024 (-13.3%), $1.96 billion in the year ended Dec 31, 2023 (+12.9%), $1.74 billion in the year ended Dec 31, 2022 (+8.8%) and $1.6 billion in the year ended Dec 31, 2021 (+388.8%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Receivables since the quarter ended Dec 31, 2024.
- Year-over-year, Receivables increased in two of the last eight quarters, with an average decline of 10.9%.
- The fastest year-over-year change in Receivables over five years came in the quarter ended Jun 30, 2026 (growth of 95.0%), and the weakest in the quarter ended Dec 31, 2025 (a decline of 96.9%).
- Business Quant data shows VIV's Receivables at $74.34 million (quarter ended Mar 31, 2026), $52.61 million (quarter ended Dec 31, 2025) and $37.64 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 27.43 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 6.25 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 12.91 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 874.30 Mn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 13.96 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 1.10 Bn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 905.61 Mn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 90.20 Mn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | 3.41 Bn |
| 10 | Telefonica Brasil | 18.28 Bn | 12.27 Bn | 1.42 Bn | 96.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.74 Mn |
| Mar 31, 2026 | 74.34 Mn |
| Dec 31, 2025 | 52.61 Mn |
| Sep 30, 2025 | 37.64 Mn |
| Jun 30, 2025 | 49.62 Mn |
| Mar 31, 2025 | 62.86 Mn |
| Dec 31, 2024 | 1.69 Bn |
| Sep 30, 2024 | 63.22 Mn |
| Jun 30, 2024 | 67.72 Mn |
| Mar 31, 2024 | 63.47 Mn |
| Dec 31, 2023 | 1.96 Bn |
| Sep 30, 2023 | 80.38 Mn |
| Jun 30, 2023 | 113.73 Mn |
| Dec 31, 2022 | 1.74 Bn |
| Sep 30, 2022 | 518.18 Mn |
| Jun 30, 2022 | 539.33 Mn |
| Dec 31, 2021 | 1.54 Bn |
| Sep 30, 2021 | -175.44 Mn |
| Jun 30, 2021 | -87.78 Mn |
| Mar 31, 2021 | 1.49 Bn |
Telefonica Brasil Receivables 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=receivables&ticker=VIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();