Telecom Argentina (TEO) EBITDA (2009 - 2025)
Telecom Argentina's EBITDA came in at -$1.28 trillion for the quarter ended Jun 30, 2026, compared with -$1.77 trillion a year earlier.
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Analysis
Telecom Argentina (TEO) EBITDA (2009 - 2025) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Telecom Argentina reported EBITDA of -$1.38 trillion; for the year ended Dec 31, 2025, it was $9.01 trillion.
- EBITDA carries a five-year compound annual growth rate of 99.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, EBITDA was $387.92 billion in the year ended Dec 31, 2024 (+0.6%), $385.73 billion in the year ended Dec 31, 2023, -$558.32 billion in the year ended Dec 31, 2022 and $717.74 billion in the year ended Dec 31, 2021 (+152.6%).
- The five-year range for quarterly EBITDA is -$1.77 trillion (the quarter ended Jun 30, 2025) to $726.74 billion (the quarter ended Dec 31, 2021).
- Year-over-year, EBITDA increased in two of the last four quarters, with growth averaging 12.1%.
- The fastest year-over-year change in EBITDA over five years came in the quarter ended Jun 30, 2023 (growth of 223.9%), and the weakest in the quarter ended Dec 31, 2024 (a decline of 41.6%).
- Business Quant data shows TEO's EBITDA at -$1.18 trillion (quarter ended Mar 31, 2026), $693.85 billion (quarter ended Dec 31, 2025) and $385.62 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.93 Bn | 186.93 Bn | - | - |
| 2 | T-Mobile US | 166.15 Bn | 148.59 Bn | 15.13 Bn | 9.11 Bn |
| 3 | At&T | 146.27 Bn | 87.73 Bn | 26.22 Bn | 9.07 Bn |
| 4 | Grupo Televisa, S.A.B | 135.11 Bn | 126.84 Bn | 318.12 Mn | 90.33 Mn |
| 5 | Comcast | 81.65 Bn | 47.45 Bn | - | 9.02 Bn |
| 6 | Chunghwa Telecom | 38.09 Bn | 30.11 Bn | 728.80 Mn | - |
| 7 | Vodafone Group Public | 37.96 Bn | 7.36 Bn | - | - |
| 8 | EchoStar | 28.09 Bn | 19.17 Bn | 1.65 Bn | 683.48 Mn |
| 9 | Bce | 18.89 Bn | 17.02 Bn | 3.38 Bn | 1.86 Bn |
| 10 | Telecom Argentina | 4.70 Bn | 2.51 Bn | - | 478.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 478.03 Mn |
| Dec 31, 2015 | 3.20 Bn |
| Sep 30, 2015 | 2.53 Bn |
| Jun 30, 2015 | 2.50 Bn |
| Mar 31, 2015 | 2.63 Bn |
| Dec 31, 2014 | 2.52 Bn |
| Sep 30, 2014 | 2,067.00 |
| Jun 30, 2014 | 2.01 Bn |
| Mar 31, 2014 | 2.11 Bn |
| Dec 31, 2013 | 2.01 Bn |
| Sep 30, 2013 | 1.93 Bn |
| Jun 30, 2013 | 1.83 Bn |
| Mar 31, 2013 | 1.80 Bn |
| Dec 31, 2012 | 1.84 Bn |
| Sep 30, 2012 | 1.59 Bn |
| Jun 30, 2012 | 1.49 Bn |
| Mar 31, 2012 | 1.65 Bn |
| Dec 31, 2011 | 236.00 Mn |
| Sep 30, 2011 | 1.50 Bn |
| Jun 30, 2011 | 2.92 Bn |
API Access
Telecom Argentina EBITDA 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=ebitda&ticker=TEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();