Telecom Argentina (TEO) Assets (2009 - 2025)
Telecom Argentina's Assets came in at $19.26 trillion for the quarter ended Jun 30, 2026, up 32.3% from $14.56 trillion a year earlier and up 5.4% from the prior quarter.
Telecom Argentina (TEO) Assets (2009 - 2025) Analysis & Trends
As of Dec 31, 2025, Telecom Argentina's Assets was $19.42 trillion, up 34.9% from the prior year.
- Assets carries a five-year compound annual growth rate of 76.5% (years ended Dec 2020 to Dec 2025).
- Going back by year, Assets was $14.39 trillion in the year ended Dec 31, 2024 (-1.1%), $14.55 trillion in the year ended Dec 31, 2023 (+170.2%), $5.38 trillion in the year ended Dec 31, 2022 (+156.2%) and $2.1 trillion in the year ended Dec 31, 2021 (+85.2%).
- The five-year range for quarterly Assets is $978.52 billion (the quarter ended Sep 30, 2021) to $19.42 trillion (the quarter ended Dec 31, 2025).
- Year-over-year, Assets has increased for six consecutive quarters, with growth averaging 59.9% over the last eight quarters.
- The fastest year-over-year change in Assets over five years came in the quarter ended Mar 31, 2024 (growth of 286.1%), and the weakest in the quarter ended Dec 31, 2024 (a decline of 1.1%).
- Business Quant data shows TEO's Assets at $18.28 trillion (quarter ended Mar 31, 2026), $19.42 trillion (quarter ended Dec 31, 2025) and $15.63 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) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 187.66 Bn | 187.66 Bn | - | 415.52 Bn |
| 2 | T-Mobile US | 168.77 Bn | 151.20 Bn | 15.13 Bn | 213.10 Bn |
| 3 | At&T | 146.30 Bn | 87.77 Bn | 26.22 Bn | 445.87 Bn |
| 4 | Grupo Televisa, S.A.B | 133.23 Bn | 124.96 Bn | 318.12 Mn | 13.50 Bn |
| 5 | Comcast | 81.62 Bn | 47.41 Bn | - | 257.77 Bn |
| 6 | Vodafone Group Public | 38.10 Bn | 7.50 Bn | - | 148.89 Bn |
| 7 | Chunghwa Telecom | 37.96 Bn | 29.98 Bn | 728.80 Mn | 17.37 Bn |
| 8 | EchoStar | 27.84 Bn | 18.93 Bn | 1.65 Bn | 39.43 Bn |
| 9 | Bce | 18.99 Bn | 17.11 Bn | 3.38 Bn | 57.04 Bn |
| 10 | Telecom Argentina | 4.54 Bn | 2.36 Bn | - | 11.45 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 11.45 Bn |
| Sep 30, 2025 | 11.51 Bn |
| Dec 31, 2024 | 10.61 Bn |
| Dec 31, 2023 | 6.78 Bn |
| Dec 31, 2022 | 9.78 Bn |
| Dec 31, 2021 | 10.51 Bn |
| Dec 31, 2020 | 8.94 Bn |
| Dec 31, 2019 | 9.65 Bn |
| Dec 31, 2018 | 9.86 Bn |
| Dec 31, 2017 | 3.00 Bn |
| Dec 31, 2016 | 3.01 Bn |
| Dec 31, 2015 | 38.47 Bn |
| Sep 30, 2015 | 1.40 Bn |
| Jun 30, 2015 | 30.97 Bn |
| Mar 31, 2015 | 26.97 Bn |
| Dec 31, 2014 | 26.32 Bn |
| Sep 30, 2014 | 480.00 Mn |
| Jun 30, 2014 | 23.66 Bn |
| Mar 31, 2014 | 23.96 Bn |
| Dec 31, 2013 | 23.13 Bn |
Telecom Argentina Assets 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=assets&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();