Telecom Argentina (TEO) Selling, General & Administrative (2009 - 2011)
Telecom Argentina's Selling, General & Administrative came in at -$3.64 billion for the quarter ended Dec 31, 2016.
Powered by 
Analysis
Telecom Argentina (TEO) Selling, General & Administrative (2009 - 2011) Analysis & Trends
Going back to the quarter ended Mar 31, 2009, Telecom Argentina's Selling, General & Administrative data covers 13 quarters.
- The figure for the quarter ended Dec 31, 2016 represents the highest quarterly Selling, General & Administrative in data going back to the quarter ended Mar 31, 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn | 7.48 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn | 6.02 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn | 7.44 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn | 356.81 Mn |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | - |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | 61.34 Mn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - | - |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn | 234.58 Mn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn | - |
| 10 | Telecom Argentina | 4.30 Bn | 2.11 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2011 | 175.00 Mn |
| Sep 30, 2011 | 170.00 Mn |
| Jun 30, 2011 | 157.00 Mn |
| Mar 31, 2011 | 154.00 Mn |
| Dec 31, 2010 | 165.00 Mn |
| Sep 30, 2010 | 121.00 Mn |
| Jun 30, 2010 | 123.00 Mn |
| Mar 31, 2010 | 121.00 Mn |
| Dec 31, 2009 | 147.00 Mn |
| Sep 30, 2009 | 65.00 Mn |
| Jun 30, 2009 | 67.00 Mn |
| Mar 31, 2009 | 92.00 Mn |
API Access
Telecom Argentina Selling, General & Administrative 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=selling-general-and-administrative&ticker=TEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "TEO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();