Telecom Argentina (TEO) Operating Leases (2019 - 2026)
Telecom Argentina (TEO) recorded Operating Leases of $262.63 billion in the quarter ended Jun 30, 2026, up 30.4% from $201.36 billion a year earlier and up 4.3% from the prior quarter.
Telecom Argentina (TEO) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Telecom Argentina reported Operating Leases of $279.57 billion, up 53.5% from the prior year.
- Annual Operating Leases has increased for six straight years, with a five-year compound annual growth rate of 92.7% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Operating Leases came in at $182.12 billion in the year ended Dec 31, 2024 (+14.5%), $159.12 billion in the year ended Dec 31, 2023 (+159.4%), $61.33 billion in the year ended Dec 31, 2022 (+146.2%) and $24.91 billion in the year ended Dec 31, 2021 (+136.9%).
- Quarterly Operating Leases has ranged from $12.16 billion in the quarter ended Sep 30, 2021 to $279.57 billion in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, Operating Leases has increased for 26 consecutive quarters, with growth averaging 95.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Leases ranged from 14.5% (the quarter ended Dec 31, 2024) to 248.3% (the quarter ended Sep 30, 2024).
- Per Business Quant, the preceding three quarters came in at $251.78 billion (quarter ended Mar 31, 2026), $279.57 billion (quarter ended Dec 31, 2025) and $224.46 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 191.08 Bn | 155.48 Bn | 27.03 Bn |
| 2 | T-Mobile US | 175.17 Bn | 159.92 Bn | 14.76 Bn |
| 3 | At&T | 167.81 Bn | 115.76 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn |
| 5 | Comcast | 76.40 Bn | 40.65 Bn | - |
| 6 | Chunghwa Telecom | 35.35 Bn | 31.20 Bn | 728.80 Mn |
| 7 | EchoStar | 26.08 Bn | 17.22 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 23.11 Bn | 23.62 Bn | 7.95 Mn |
| 9 | Bce | 18.79 Bn | 17.12 Bn | - |
| 10 | Telecom Argentina | 5.24 Bn | 5,485.56 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 262.63 Bn |
| Mar 31, 2026 | 251.78 Bn |
| Dec 31, 2025 | 279.57 Bn |
| Sep 30, 2025 | 224.46 Bn |
| Jun 30, 2025 | 201.36 Bn |
| Mar 31, 2025 | 170.93 Bn |
| Dec 31, 2024 | 182.12 Bn |
| Sep 30, 2024 | 114.77 Bn |
| Jun 30, 2024 | 82.74 Bn |
| Mar 31, 2024 | 73.35 Bn |
| Dec 31, 2023 | 159.12 Bn |
| Sep 30, 2023 | 32.95 Bn |
| Jun 30, 2023 | 27.06 Bn |
| Mar 31, 2023 | 24.39 Bn |
| Dec 31, 2022 | 61.33 Bn |
| Sep 30, 2022 | 15.93 Bn |
| Jun 30, 2022 | 14.59 Bn |
| Mar 31, 2022 | 13.70 Bn |
| Dec 31, 2021 | 24.91 Bn |
| Sep 30, 2021 | 12.16 Bn |
Telecom Argentina Operating Leases 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=operating-leases&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();