Telecom Argentina (TEO) Goodwill & Intangibles (2009 - 2025)
Telecom Argentina's Goodwill & Intangibles was $8.22 trillion in the quarter ended Jun 30, 2026, up 29.0% from $6.37 trillion a year earlier and up 6.4% from the prior quarter.
Telecom Argentina (TEO) Goodwill & Intangibles (2009 - 2025) Analysis & Trends
As of Dec 31, 2025, Goodwill & Intangibles at Telecom Argentina came in at $8.31 trillion, up 19.9% from the prior year.
- Goodwill & Intangibles has now increased for eight consecutive years, with a five-year compound annual growth rate of 73.0% (years ended Dec 2020 to Dec 2025).
- In earlier years, Goodwill & Intangibles was $6.93 trillion in the year ended Dec 31, 2024 (+6.5%), $6.51 trillion in the year ended Dec 31, 2023 (+178.8%), $2.33 trillion in the year ended Dec 31, 2022 (+129.0%) and $1.02 trillion in the year ended Dec 31, 2021 (+89.7%).
- Quarterly Goodwill & Intangibles has moved between $478.4 billion (the quarter ended Sep 30, 2021) and $8.31 trillion (the quarter ended Dec 31, 2025) over five years.
- Compared with a year earlier, Goodwill & Intangibles has increased for 31 straight quarters, with growth averaging 65.0% over the last eight quarters.
- The year-over-year growth in Goodwill & Intangibles has ranged between 19.9% (the quarter ended Dec 31, 2025) and 308.1% (the quarter ended Mar 31, 2024) over the last five years.
- Per Business Quant data, TEO's Goodwill & Intangibles in the three quarters before the quarter ended Jun 30, 2026 was $7.72 trillion (quarter ended Mar 31, 2026), $8.31 trillion (quarter ended Dec 31, 2025) and $6.74 trillion (quarter ended Sep 30, 2025).
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 | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.90 Bn |
| Sep 30, 2025 | 4.96 Bn |
| Dec 31, 2024 | 5.11 Bn |
| Dec 31, 2023 | 6.22 Bn |
| Dec 31, 2022 | 4.24 Bn |
| Dec 31, 2021 | 5.10 Bn |
| Dec 31, 2020 | 4.23 Bn |
| Dec 31, 2019 | 4.47 Bn |
| Dec 31, 2018 | 4.78 Bn |
| Dec 31, 2017 | 370.13 Mn |
| Dec 31, 2016 | 477.17 Mn |
| Dec 31, 2015 | 591.75 Mn |
| Sep 30, 2015 | 7.55 Bn |
| Jun 30, 2015 | 7.59 Bn |
| Mar 31, 2015 | 5.29 Bn |
| Dec 31, 2014 | 5.33 Bn |
| Sep 30, 2014 | 1.70 Bn |
| Jun 30, 2014 | 1.59 Bn |
| Mar 31, 2014 | 1.51 Bn |
| Dec 31, 2013 | 1.52 Bn |
Telecom Argentina Goodwill & 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=goodwill-and-intangibles&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();