Telefonica Brasil (VIV) Accumulated Expenses (2011 - 2020)
Telefonica Brasil's Accumulated Expenses was $36.8 million in the quarter ended Mar 31, 2009.
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Analysis
Telefonica Brasil (VIV) Accumulated Expenses (2011 - 2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 185.25 Bn | 148.37 Bn | 27.03 Bn |
| 2 | T-Mobile US | 158.63 Bn | 143.38 Bn | 14.76 Bn |
| 3 | Grupo Televisa, S.A.B | 147.96 Bn | 139.70 Bn | 318.12 Mn |
| 4 | At&T | 143.36 Bn | 84.83 Bn | 26.22 Bn |
| 5 | Comcast | 80.87 Bn | 46.67 Bn | - |
| 6 | Vodafone Group Public | 37.85 Bn | 7.25 Bn | - |
| 7 | Chunghwa Telecom | 37.61 Bn | 29.62 Bn | 728.80 Mn |
| 8 | EchoStar | 25.86 Bn | 16.95 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.93 Bn | 14.95 Bn | 1.42 Bn |
| 10 | Bce | 19.00 Bn | 17.12 Bn | 3.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | -325.57 Mn |
| Sep 30, 2020 | -227.16 Mn |
| Jun 30, 2020 | -153.64 Mn |
| Mar 31, 2020 | -82.04 Mn |
| Dec 31, 2019 | -397.69 Mn |
| Sep 30, 2019 | -294.68 Mn |
| Jun 30, 2019 | -213.31 Mn |
| Mar 31, 2019 | -104.93 Mn |
| Dec 31, 2018 | -411.65 Mn |
| Sep 30, 2018 | -92.92 Mn |
| Jun 30, 2018 | -110.97 Mn |
| Mar 31, 2018 | -125.32 Mn |
| Dec 31, 2017 | -541.42 Mn |
| Sep 30, 2017 | -426.01 Mn |
| Jun 30, 2017 | -274.59 Mn |
| Mar 31, 2017 | -145.31 Mn |
| Dec 31, 2016 | -572.27 Mn |
| Sep 30, 2016 | -438.87 Mn |
| Jun 30, 2016 | -288.52 Mn |
| Mar 31, 2016 | -119.80 Mn |
API Access
Telefonica Brasil 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=accumulated-expenses&ticker=VIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();