Telecom Argentina (TEO) Intangibles (2009 - 2026)
Telecom Argentina's Intangibles came in at $3.03 trillion for the quarter ended Jun 30, 2026, up 21.8% from $2.48 trillion a year earlier and up 5.8% from the prior quarter.
Telecom Argentina (TEO) Intangibles (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Telecom Argentina's Intangibles was $3.12 trillion, up 25.1% from the prior year.
- Intangibles has increased in each of the last seven years, with a five-year compound annual growth rate of 81.8% (years ended Dec 2020 to Dec 2025).
- Going back by year, Intangibles was $2.49 trillion in the year ended Dec 31, 2024 (+3.6%), $2.41 trillion in the year ended Dec 31, 2023 (+203.4%), $793.49 billion in the year ended Dec 31, 2022 (+182.7%) and $280.72 billion in the year ended Dec 31, 2021 (+78.8%).
- The five-year range for quarterly Intangibles is $1.45 billion (the quarter ended Dec 31, 2023) to $3.12 trillion (the quarter ended Dec 31, 2025).
- Year-over-year, Intangibles has increased for six consecutive quarters, with growth averaging 72.7% over the last seven quarters.
- The fastest year-over-year change in Intangibles over five years came in the quarter ended Mar 31, 2024 (growth of 348.0%), and the weakest in the quarter ended Dec 31, 2023 (a decline of 99.8%).
- Business Quant data shows TEO's Intangibles at $2.86 trillion (quarter ended Mar 31, 2026), $3.12 trillion (quarter ended Dec 31, 2025) and $2.61 trillion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.08 Bn | 155.48 Bn | 27.03 Bn | 158.16 Bn |
| 2 | T-Mobile US | 175.17 Bn | 159.92 Bn | 14.76 Bn | 98.18 Bn |
| 3 | At&T | 167.81 Bn | 115.76 Bn | 25.82 Bn | 129.12 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | 1.42 Bn |
| 5 | Comcast | 76.40 Bn | 40.65 Bn | - | 59.37 Bn |
| 6 | Chunghwa Telecom | 35.35 Bn | 31.20 Bn | 728.80 Mn | 1.79 Bn |
| 7 | EchoStar | 26.08 Bn | 17.22 Bn | 1.65 Bn | 8.67 Bn |
| 8 | AST SpaceMobile | 23.11 Bn | 23.62 Bn | 7.95 Mn | - |
| 9 | Bce | 18.79 Bn | 17.12 Bn | - | 12.79 Bn |
| 10 | Telecom Argentina | 5.24 Bn | 5,485.56 Bn | - | 3,025.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,025.16 Bn |
| Mar 31, 2026 | 2,859.82 Bn |
| Dec 31, 2025 | 3,121.56 Bn |
| Sep 30, 2025 | 2,612.97 Bn |
| Jun 30, 2025 | 2,484.50 Bn |
| Mar 31, 2025 | 2,368.47 Bn |
| Dec 31, 2024 | 2,494.66 Bn |
| Sep 30, 2024 | 1,766.96 Bn |
| Jun 30, 2024 | 1,590.92 Bn |
| Mar 31, 2024 | 1,355.60 Bn |
| Dec 31, 2023 | 1.45 Bn |
| Sep 30, 2023 | 487.73 Bn |
| Jun 30, 2023 | 365.61 Bn |
| Mar 31, 2023 | 302.59 Bn |
| Dec 31, 2022 | 793.49 Bn |
| Sep 30, 2022 | 222.39 Bn |
| Jun 30, 2022 | 186.03 Bn |
| Mar 31, 2022 | 161.94 Bn |
| Dec 31, 2021 | 280.72 Bn |
| Sep 30, 2021 | 133.76 Bn |
Telecom Argentina 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=intangibles&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();