Telecom Argentina (TEO) Amortization - Intangibles (2009 - 2011)
Telecom Argentina's Amortization - Intangibles was -$583.45 billion in the quarter ended Jun 30, 2026, compared with -$628.52 billion a year earlier.
Telecom Argentina (TEO) Amortization - Intangibles (2009 - 2011) Analysis & Trends
On a trailing twelve-month basis, Telecom Argentina's Amortization - Intangibles was -$2.3 trillion through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -$2.08 trillion.
- In earlier years, Amortization - Intangibles was -$1.73 trillion in the year ended Dec 31, 2024 and -$2.02 trillion in the year ended Dec 31, 2023.
- Quarterly Amortization - Intangibles has moved between -$711.42 billion (the quarter ended Dec 31, 2025) and -$197.59 billion (the quarter ended Sep 30, 2021) over five years.
- Per Business Quant data, TEO's Amortization - Intangibles in the three quarters before the quarter ended Jun 30, 2026 was -$523.73 billion (quarter ended Mar 31, 2026), -$711.42 billion (quarter ended Dec 31, 2025) and -$483.34 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 186.66 Bn | 186.66 Bn | - |
| 2 | T-Mobile US | 167.65 Bn | 150.09 Bn | 15.13 Bn |
| 3 | At&T | 145.86 Bn | 87.32 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 129.78 Bn | 121.51 Bn | 318.12 Mn |
| 5 | Comcast | 82.44 Bn | 48.23 Bn | - |
| 6 | Vodafone Group Public | 38.03 Bn | 7.43 Bn | - |
| 7 | Chunghwa Telecom | 37.97 Bn | 29.99 Bn | 728.80 Mn |
| 8 | EchoStar | 28.08 Bn | 19.17 Bn | 1.65 Bn |
| 9 | Bce | 18.88 Bn | 17.00 Bn | 3.38 Bn |
| 10 | Telecom Argentina | 4.57 Bn | 2.38 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2011 | -18.00 Mn |
| Sep 30, 2011 | -13.00 Mn |
| Jun 30, 2011 | -9.00 Mn |
| Mar 31, 2011 | -3.00 Mn |
| Dec 31, 2010 | -23.00 Mn |
| Sep 30, 2010 | -14.00 Mn |
| Jun 30, 2010 | -10.00 Mn |
| Mar 31, 2010 | -4.00 Mn |
| Mar 31, 2009 | 1.00 Mn |
Telecom Argentina Amortization - Intangibles 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=amortization-intangibles&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();