Telecom Argentina (TEO) Restructuring Costs (2010 - 2015)
Telecom Argentina's Restructuring Costs was $8 million in the quarter ended Dec 31, 2013, compared with -$90 million a year earlier.
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Analysis
Telecom Argentina (TEO) Restructuring Costs (2010 - 2015) Analysis & Trends
- In earlier years, Restructuring Costs was -$90 million in the year ended Dec 31, 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 186.93 Bn | 186.93 Bn | - |
| 2 | T-Mobile US | 166.15 Bn | 148.59 Bn | 15.13 Bn |
| 3 | At&T | 146.27 Bn | 87.73 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 135.11 Bn | 126.84 Bn | 318.12 Mn |
| 5 | Comcast | 81.65 Bn | 47.45 Bn | - |
| 6 | Chunghwa Telecom | 38.09 Bn | 30.11 Bn | 728.80 Mn |
| 7 | Vodafone Group Public | 37.96 Bn | 7.36 Bn | - |
| 8 | EchoStar | 28.09 Bn | 19.17 Bn | 1.65 Bn |
| 9 | Bce | 18.89 Bn | 17.02 Bn | 3.38 Bn |
| 10 | Telecom Argentina | 4.70 Bn | 2.51 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | -113.00 Mn |
| Sep 30, 2015 | -174.00 Mn |
| Mar 31, 2015 | 93.00 Mn |
| Dec 31, 2014 | -84.00 Mn |
| Sep 30, 2014 | -102.00 Mn |
| Jun 30, 2014 | -65.00 Mn |
| Mar 31, 2014 | -37.00 Mn |
| Dec 31, 2013 | 8.00 Mn |
| Sep 30, 2013 | -128.00 Mn |
| Jun 30, 2013 | 8.00 Mn |
| Mar 31, 2013 | -40.00 Mn |
| Dec 31, 2012 | -90.00 Mn |
| Sep 30, 2012 | -53.00 Mn |
| Jun 30, 2012 | -19.00 Mn |
| Mar 31, 2012 | -40.00 Mn |
| Dec 31, 2011 | -225.00 Mn |
| Sep 30, 2011 | -127.00 Mn |
| Jun 30, 2011 | -38.00 Mn |
| Mar 31, 2011 | -23.00 Mn |
| Dec 31, 2010 | -130.00 Mn |
API Access
Telecom Argentina Restructuring Costs 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=restructuring-costs&ticker=TEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();