Telecom Argentina (TEO) EBT (2009 - 2025)
Telecom Argentina (TEO) reported EBT of $292.97 billion for the quarter ended Jun 30, 2026, compared with -$356.35 billion a year earlier and down 69.6% from the prior quarter.
Telecom Argentina (TEO) EBT (2009 - 2025) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Telecom Argentina's EBT came in at $1.11 trillion; for the year ended Dec 31, 2025, it was -$191.74 billion.
- By year, EBT came in at $1.9 trillion in the year ended Dec 31, 2024, -$1.68 trillion in the year ended Dec 31, 2023, -$1.92 trillion in the year ended Dec 31, 2022 and $528.95 billion in the year ended Dec 31, 2021.
- Five-year quarterly EBT spans a low of -$2.24 trillion in the quarter ended Dec 31, 2022 and a high of $1.38 trillion in the quarter ended Mar 31, 2024.
- Year over year, EBT gained in two of the last four quarters, with growth averaging 57.0%.
- The high point for year-over-year EBT in five years was the quarter ended Sep 30, 2021 (growth of 686.7%); the low point was the quarter ended Mar 31, 2025 (a decline of 79.6%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $963.64 billion (quarter ended Mar 31, 2026), $145.22 billion (quarter ended Dec 31, 2025) and -$293.42 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.93 Bn | 186.93 Bn | - | - |
| 2 | T-Mobile US | 166.15 Bn | 148.59 Bn | 15.13 Bn | 4.54 Bn |
| 3 | At&T | 146.27 Bn | 87.73 Bn | 26.22 Bn | 2.70 Bn |
| 4 | Grupo Televisa, S.A.B | 135.11 Bn | 126.84 Bn | 318.12 Mn | 18.28 Mn |
| 5 | Comcast | 81.65 Bn | 47.45 Bn | - | 4.45 Bn |
| 6 | Chunghwa Telecom | 38.09 Bn | 30.11 Bn | 728.80 Mn | 441.44 Mn |
| 7 | Vodafone Group Public | 37.96 Bn | 7.36 Bn | - | - |
| 8 | EchoStar | 28.09 Bn | 19.17 Bn | 1.65 Bn | 9.79 Bn |
| 9 | Bce | 18.89 Bn | 17.02 Bn | 3.38 Bn | 3.86 Bn |
| 10 | Telecom Argentina | 4.70 Bn | 2.51 Bn | - | 100.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 100.05 Mn |
| Sep 30, 2025 | -216.07 Mn |
| Dec 31, 2017 | 176.66 Mn |
| Dec 31, 2016 | 150.29 Mn |
| Dec 31, 2015 | 177.78 Mn |
| Sep 30, 2015 | 1.24 Bn |
| Jun 30, 2015 | 1.44 Bn |
| Mar 31, 2015 | 1.59 Bn |
| Dec 31, 2014 | 1.62 Bn |
| Sep 30, 2014 | 1.30 Bn |
| Jun 30, 2014 | 1.43 Bn |
| Mar 31, 2014 | 1.35 Bn |
| Dec 31, 2013 | 1.41 Bn |
| Sep 30, 2013 | 1.37 Bn |
| Jun 30, 2013 | 1.02 Bn |
| Mar 31, 2013 | 1.25 Bn |
| Dec 31, 2012 | 1.23 Bn |
| Sep 30, 2012 | 968.00 Mn |
| Jun 30, 2012 | 900.00 Mn |
| Mar 31, 2012 | 1.09 Bn |
Telecom Argentina EBT 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=ebt&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();