Telecom Argentina (TEO) Asset Utilization Ratio (2009 - 2026)
Telecom Argentina's Asset Utilization Ratio came in at 0.52 for the quarter ended Jun 30, 2026, up 0.6% from 0.51 a year earlier and up 0.5% from the prior quarter.
Telecom Argentina (TEO) Asset Utilization Ratio (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Telecom Argentina's Asset Utilization Ratio was 0.49, up 31.0% from the prior year.
- Going back by year, Asset Utilization Ratio was 0.38 in the year ended Dec 31, 2024 (-36.4%), 0.59 in the year ended Dec 31, 2023 (-63.3%), 1.61 in the year ended Dec 31, 2022 (-49.9%) and 3.21 in the year ended Dec 31, 2021 (+248.4%).
- The five-year range for quarterly Asset Utilization Ratio is 0.42 (the quarter ended Mar 31, 2025) to 3.03 (the quarter ended Jun 30, 2023).
- Year-over-year, Asset Utilization Ratio has increased for three consecutive quarters, with an average decline of 10.7% over the last eight quarters.
- The fastest year-over-year change in Asset Utilization Ratio over five years came in the quarter ended Jun 30, 2023 (growth of 357.2%), and the weakest in the quarter ended Sep 30, 2021 (a decline of 100.0%).
- Business Quant data shows TEO's Asset Utilization Ratio at 0.51 (quarter ended Mar 31, 2026), 0.52 (quarter ended Dec 31, 2025) and 0.54 (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) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.08 Bn | 155.48 Bn | 27.03 Bn | 0.34 |
| 2 | T-Mobile US | 175.17 Bn | 159.92 Bn | 14.76 Bn | 0.43 |
| 3 | At&T | 167.81 Bn | 115.76 Bn | 25.82 Bn | 0.30 |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | 0.24 |
| 5 | Comcast | 76.40 Bn | 40.65 Bn | - | 0.48 |
| 6 | Chunghwa Telecom | 35.35 Bn | 31.20 Bn | 728.80 Mn | 0.11 |
| 7 | EchoStar | 26.08 Bn | 17.22 Bn | 1.65 Bn | 0.36 |
| 8 | AST SpaceMobile | 23.11 Bn | 23.62 Bn | 7.95 Mn | 0.02 |
| 9 | Bce | 18.79 Bn | 17.12 Bn | - | 0.30 |
| 10 | Telecom Argentina | 5.24 Bn | 5,485.56 Bn | - | 0.52 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.52 |
| Mar 31, 2026 | 0.51 |
| Dec 31, 2025 | 0.52 |
| Sep 30, 2025 | 0.54 |
| Jun 30, 2025 | 0.51 |
| Mar 31, 2025 | 0.42 |
| Dec 31, 2024 | 0.43 |
| Sep 30, 2024 | 0.64 |
| Jun 30, 2024 | 0.61 |
| Mar 31, 2024 | 0.44 |
| Dec 31, 2023 | 0.54 |
| Sep 30, 2023 | 2.37 |
| Jun 30, 2023 | 3.03 |
| Mar 31, 2023 | 1.70 |
| Dec 31, 2022 | 1.61 |
| Sep 30, 2022 | 0.73 |
| Jun 30, 2022 | 0.66 |
| Mar 31, 2022 | 0.45 |
| Dec 31, 2021 | 0.57 |
| Sep 30, 2021 | 1.06 |
Telecom Argentina Asset Utilization Ratio 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=asset-utilization-ratio&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();