Telecom Argentina (TEO) Selling, General & Administrative (2009 - 2016)
Telecom Argentina's Selling, General & Administrative came in at -$3.64 billion for the quarter ended Dec 31, 2016.
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Analysis
Telecom Argentina (TEO) Selling, General & Administrative (2009 - 2016) 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 | 190.87 Bn | 155.27 Bn | 27.03 Bn | 8.98 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 5.83 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 7.22 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | -115.06 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 61.34 Mn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 547.85 Mn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 63.90 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | -203.00 Mn |
| 10 | Telecom Argentina | 5.06 Bn | 5,485.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | -3.64 Bn |
| Dec 31, 2011 | -656.00 Mn |
| Sep 30, 2011 | 5.00 Mn |
| Jun 30, 2011 | -157.00 Mn |
| Mar 31, 2011 | -154.00 Mn |
| Dec 31, 2010 | -530.00 Mn |
| Sep 30, 2010 | -97.00 Mn |
| Jun 30, 2010 | -123.00 Mn |
| Mar 31, 2010 | -121.00 Mn |
| Dec 31, 2009 | -448.00 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();