Telecom Argentina (TEO) Revenue (2009 - 2025)
Telecom Argentina (TEO) reported Revenue of $2.56 trillion for the quarter ended Jun 30, 2026, up 0.4% from $2.55 trillion a year earlier and up 8.5% from the prior quarter.
Telecom Argentina (TEO) Revenue (2009 - 2025) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Telecom Argentina's Revenue came in at $9.69 trillion, up 32.1% year-over-year; for the year ended Dec 31, 2025, it was $8.33 trillion, up 53.0% from the prior year.
- Revenue has a five-year compound annual growth rate of 56.5% (years ended Dec 2020 to Dec 2025).
- By year, Revenue came in at $5.44 trillion in the year ended Dec 31, 2024 (-7.7%), $5.9 trillion in the year ended Dec 31, 2023 (-2.2%), $6.03 trillion in the year ended Dec 31, 2022 (+15.9%) and $5.2 trillion in the year ended Dec 31, 2021 (+486.7%).
- Five-year quarterly Revenue spans a low of $239,787 in the quarter ended Mar 31, 2022 and a high of $4.91 trillion in the quarter ended Dec 31, 2022.
- Year over year, Revenue has now increased in each of the last six quarters, with growth averaging 73.1% over the last eight quarters.
- The high point for year-over-year Revenue in five years was the quarter ended Sep 30, 2024 (growth of 288.5%); the low point was the quarter ended Mar 31, 2022 (a decline of 100.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $2.36 trillion (quarter ended Mar 31, 2026), $2.71 trillion (quarter ended Dec 31, 2025) and $2.07 trillion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 187.79 Bn | 187.79 Bn | - | - |
| 2 | T-Mobile US | 169.22 Bn | 151.65 Bn | 15.13 Bn | 23.58 Bn |
| 3 | At&T | 146.61 Bn | 88.08 Bn | 26.22 Bn | 32.32 Bn |
| 4 | Grupo Televisa, S.A.B | 135.74 Bn | 127.47 Bn | 318.12 Mn | 820.91 Mn |
| 5 | Comcast | 82.33 Bn | 48.12 Bn | - | 29.30 Bn |
| 6 | Vodafone Group Public | 38.18 Bn | 7.57 Bn | - | - |
| 7 | Chunghwa Telecom | 38.02 Bn | 30.03 Bn | 728.80 Mn | 1.94 Bn |
| 8 | EchoStar | 27.93 Bn | 19.02 Bn | 1.65 Bn | 3.58 Bn |
| 9 | Bce | 18.97 Bn | 17.09 Bn | 3.38 Bn | 4.46 Bn |
| 10 | Telecom Argentina | 4.59 Bn | 2.40 Bn | - | 1.86 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.86 Bn |
| Sep 30, 2025 | 1.52 Bn |
| Dec 31, 2017 | 1.02 Bn |
| Dec 31, 2016 | 934.28 Mn |
| Dec 31, 2015 | 1.20 Bn |
| Sep 30, 2015 | 10.09 Bn |
| Mar 31, 2015 | 806.00 Mn |
| Dec 31, 2014 | 9.16 Bn |
| Sep 30, 2014 | 8.60 Bn |
| Jun 30, 2014 | 8.12 Bn |
| Mar 31, 2014 | 7.47 Bn |
| Dec 31, 2013 | 7.46 Bn |
| Sep 30, 2013 | 7.11 Bn |
| Jun 30, 2013 | 6.65 Bn |
| Mar 31, 2013 | 6.06 Bn |
| Dec 31, 2012 | 6.09 Bn |
| Sep 30, 2012 | 5.65 Bn |
| Jun 30, 2012 | 5.25 Bn |
| Mar 31, 2012 | 5.13 Bn |
| Dec 31, 2011 | 5.14 Bn |
Telecom Argentina Revenue 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=revenue&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();