Telecom Argentina (TEO) Asset Writedowns and Impairment (2015)
Telecom Argentina (TEO) posted Asset Writedowns and Impairment of $15.94 billion for the year ended Dec 31, 2025, down 96.6% from $467.85 billion a year earlier.
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Analysis
Telecom Argentina (TEO) Asset Writedowns and Impairment (2015) Analysis & Trends
Since the year ended Dec 31, 2013, Telecom Argentina has reported Asset Writedowns and Impairment for 11 years.
- Annual Asset Writedowns and Impairment shows a four-year compound annual growth rate of 40.9% (years ended Dec 2021 to Dec 2025).
- Annual Asset Writedowns and Impairment has run from a low of -$1.39 billion in the year ended Dec 31, 2023 to a high of $2.02 trillion in the year ended Dec 31, 2022 over five years.
- Business Quant data shows TEO's Asset Writedowns and Impairment at $467.85 billion in the year ended Dec 31, 2024, -$1.39 billion in the year ended Dec 31, 2023, $2.02 trillion in the year ended Dec 31, 2022 and $4.05 billion in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn |
| 10 | Telecom Argentina | 4.30 Bn | 2.11 Bn | - |
API Access
Telecom Argentina Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=TEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();