Telecom Argentina (TEO) Depreciation & Amortization - Total (2009 - 2011)
Telecom Argentina (TEO) posted Depreciation & Amortization - Total of -$1.11 billion for the quarter ended Sep 30, 2011, compared with -$938 million a year earlier.
Telecom Argentina (TEO) Depreciation & Amortization - Total (2009 - 2011) Analysis & Trends
For the trailing twelve months through Sep 30, 2011, Depreciation & Amortization - Total at Telecom Argentina was -$3.47 billion.
- Quarterly Depreciation & Amortization - Total has run from a low of -$1.3 billion in the quarter ended Dec 31, 2010 to a high of -$44 million in the quarter ended Mar 31, 2009 over five years.
- According to Business Quant data, Depreciation & Amortization - Total for the three prior quarters was -$709 million (quarter ended Jun 30, 2011), -$349 million (quarter ended Mar 31, 2011) and -$1.3 billion (quarter ended Dec 31, 2010).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 194.44 Bn | 160.78 Bn | 27.05 Bn | - |
| 2 | T-Mobile US | 171.57 Bn | 154.00 Bn | 15.13 Bn | - |
| 3 | At&T | 151.12 Bn | 92.59 Bn | 26.22 Bn | - |
| 4 | Grupo Televisa, S.A.B | 145.45 Bn | 145.45 Bn | 310.59 Mn | - |
| 5 | Comcast | 89.21 Bn | 55.00 Bn | - | 3.70 Bn |
| 6 | Vodafone Group Public | 38.90 Bn | 8.30 Bn | - | - |
| 7 | Chunghwa Telecom | 38.02 Bn | 30.51 Bn | 728.80 Mn | - |
| 8 | EchoStar | 28.13 Bn | 9.17 Bn | 647.20 Mn | - |
| 9 | Bce | 19.93 Bn | 18.05 Bn | 3.38 Bn | 712.08 Mn |
| 10 | Telecom Argentina | 4.51 Bn | 2.32 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2011 | 1.11 Bn |
| Jun 30, 2011 | 709.00 Mn |
| Mar 31, 2011 | 349.00 Mn |
| Sep 30, 2010 | 938.00 Mn |
| Jun 30, 2010 | 611.00 Mn |
| Mar 31, 2010 | 294.00 Mn |
| Mar 31, 2009 | 44.00 Mn |
Telecom Argentina Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();