Telefonica Brasil (VIV) Change in Accured Expenses (2011 - 2013)
Telefonica Brasil's Change in Accured Expenses came in at -$227.21 million for the quarter ended Dec 31, 2013.
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Analysis
Telefonica Brasil (VIV) Change in Accured Expenses (2011 - 2013) Analysis & Trends
For the year ended Dec 31, 2013, Telefonica Brasil's Change in Accured Expenses was -$1.22 billion.
- Going back by year, Change in Accured Expenses was -$1.35 billion in the year ended Dec 31, 2012 and $40.81 million in the year ended Dec 31, 2009.
- The figure for the quarter ended Dec 31, 2013 represents the highest quarterly Change in Accured Expenses since the quarter ended Mar 31, 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | - |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | -265.00 Mn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 205.00 Mn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | - |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | -161.00 Mn |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | - |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | - |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 21.50 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | - |
| 10 | Bce | 18.40 Bn | 16.72 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | -227.21 Mn |
| Sep 30, 2013 | -732.57 Mn |
| Sep 30, 2012 | -1.15 Bn |
| Mar 31, 2012 | -165.85 Mn |
| Sep 30, 2011 | -986.74 Mn |
| Mar 31, 2011 | 98.18 Mn |
API Access
Telefonica Brasil Change in Accured 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=change-in-accured-expenses&ticker=VIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();