Telefonica Brasil (VIV) Other Accumulated Expenses (2009 - 2025)
Telefonica Brasil (VIV) posted Other Accumulated Expenses of $1.65 million for the quarter ended Dec 31, 2024, down 73.4% from $6.19 million a year earlier and down 91.8% from the prior quarter.
Telefonica Brasil (VIV) Other Accumulated Expenses (2009 - 2025) Analysis & Trends
Since the quarter ended Mar 31, 2009, Telefonica Brasil has reported Other Accumulated Expenses for 18 quarters.
- In prior years, Telefonica Brasil's Other Accumulated Expenses was $6.19 million in the year ended Dec 31, 2023.
- The figure for the quarter ended Dec 31, 2024 stands as the lowest quarterly Other Accumulated Expenses in data going back to the quarter ended Mar 31, 2009.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 192.19 Bn | 159.83 Bn | 27.05 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 |
| 4 | Grupo Televisa, S.A.B | 138.76 Bn | 131.89 Bn | 960.50 Mn |
| 5 | Comcast | 89.06 Bn | 55.02 Bn | - |
| 6 | Chunghwa Telecom | 38.69 Bn | 31.18 Bn | 728.80 Mn |
| 7 | Vodafone Group Public | 37.39 Bn | 5.63 Bn | - |
| 8 | EchoStar | 29.07 Bn | 10.15 Bn | 647.20 Mn |
| 9 | Bce | 19.98 Bn | 18.22 Bn | 11.61 Bn |
| 10 | Telefonica Brasil | 19.21 Bn | 13.23 Bn | 1.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.03 Bn |
| Dec 31, 2024 | 869.03 Mn |
| Sep 30, 2024 | 20.03 Mn |
| Dec 31, 2023 | 1.46 Bn |
| Dec 31, 2017 | 9.88 Bn |
| Sep 30, 2017 | 46.87 Mn |
| Jun 30, 2017 | 52.97 Mn |
| Dec 31, 2016 | 10.09 Bn |
| Jun 30, 2016 | 84.24 Mn |
| Dec 31, 2015 | 168.30 Mn |
| Dec 31, 2014 | 287.73 Mn |
| Dec 31, 2013 | 61.31 Mn |
| Dec 31, 2012 | 345.28 Mn |
| Mar 31, 2012 | 304.48 Mn |
| Dec 31, 2011 | 250.17 Mn |
| Dec 31, 2010 | 231.02 Mn |
| Dec 31, 2009 | 203.90 Mn |
| Sep 30, 2009 | 207.46 Mn |
| Jun 30, 2009 | 178.54 Mn |
| Mar 31, 2009 | 130.58 Mn |
Telefonica Brasil Other Accumulated 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=other-accumulated-expenses&ticker=VIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();