Telecom Argentina (TEO) Return on Assets [ROA] (2009 - 2025)
Telecom Argentina (TEO) reported Return on Assets [ROA] of 10.88% for the quarter ended Jun 30, 2026, up 10.46 percentage points from 0.42% a year earlier and up 4.73 percentage points from the prior quarter.
Telecom Argentina (TEO) Return on Assets [ROA] (2009 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Telecom Argentina posted Return on Assets [ROA] of -0.86%, down 10.25 percentage points from the prior year.
- Return on Assets [ROA] has a five-year change of +0.70 percentage points (years ended Dec 2020 to Dec 2025).
- By year, Return on Assets [ROA] came in at 9.39% in the year ended Dec 31, 2024 (+16.57 pp), -7.18% in the year ended Dec 31, 2023 (+38.26 pp), -45.44% in the year ended Dec 31, 2022 (-52.95 pp) and 7.51% in the year ended Dec 31, 2021 (+9.07 pp).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Return on Assets [ROA] since the quarter ended Dec 31, 2024.
- Year over year, Return on Assets [ROA] gained in seven of the last eight quarters, with an average year-over-year change of +17.57 percentage points.
- The high point for year-over-year Return on Assets [ROA] in five years was the quarter ended Jun 30, 2024 (a gain of 116.15 percentage points); the low point was the quarter ended Sep 30, 2021 (a drop of 120207.09 percentage points).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 6.14% (quarter ended Mar 31, 2026), 1.80% (quarter ended Dec 31, 2025) and -2.41% (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.44 Bn | 158.78 Bn | 27.05 Bn | 4.08% |
| 2 | T-Mobile US | 170.09 Bn | 152.53 Bn | 15.13 Bn | 5.30% |
| 3 | At&T | 149.57 Bn | 91.04 Bn | 26.22 Bn | 3.34% |
| 4 | Grupo Televisa, S.A.B | 144.20 Bn | 144.20 Bn | 310.59 Mn | 2.57% |
| 5 | Comcast | 87.91 Bn | 53.70 Bn | - | 4.22% |
| 6 | Vodafone Group Public | 39.09 Bn | 8.49 Bn | - | - |
| 7 | Chunghwa Telecom | 38.09 Bn | 30.11 Bn | 728.80 Mn | 1.93% |
| 8 | EchoStar | 28.69 Bn | 19.78 Bn | 1.65 Bn | -14.06% |
| 9 | Bce | 19.59 Bn | 17.71 Bn | 3.38 Bn | 9.01% |
| 10 | Telecom Argentina | 4.50 Bn | 2.31 Bn | - | 1.39% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.39% |
| Sep 30, 2025 | 1.25% |
| Dec 31, 2017 | 35.90% |
| Dec 31, 2016 | 14.00% |
| Dec 31, 2015 | 10.61% |
| Sep 30, 2015 | 20.31% |
| Jun 30, 2015 | 20.03% |
| Mar 31, 2015 | 14.50% |
| Dec 31, 2014 | 14.63% |
| Sep 30, 2014 | 1.35% |
| Jun 30, 2014 | 11.28% |
| Mar 31, 2014 | 14.21% |
| Dec 31, 2013 | 14.44% |
| Sep 30, 2013 | 22.11% |
| Jun 30, 2013 | 15.06% |
| Mar 31, 2013 | 15.58% |
| Dec 31, 2012 | 16.09% |
| Sep 30, 2012 | 16.37% |
| Jun 30, 2012 | 16.46% |
| Mar 31, 2012 | 16.77% |
Telecom Argentina Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();