Telecom Argentina (TEO) Total Debt (2009 - 2026)
Telecom Argentina's Total Debt came in at $1.11 trillion for the quarter ended Jun 30, 2026, down 19.3% from $1.37 trillion a year earlier and down 14.9% from the prior quarter.
Telecom Argentina (TEO) Total Debt (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Telecom Argentina's Total Debt was $1.89 trillion, up 33.9% from the prior year.
- Total Debt has increased in each of the last four years, with a five-year compound annual growth rate of 46.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Debt was $1.41 trillion in the year ended Dec 31, 2024 (+187.1%), $491.5 billion in the year ended Dec 31, 2023 (+102.2%), $243.02 billion in the year ended Dec 31, 2022 (+182.3%) and $86.1 billion in the year ended Dec 31, 2021 (-68.8%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Total Debt since the quarter ended Sep 30, 2024.
- Year-over-year, Total Debt increased in five of the last six quarters, with growth averaging 151.3%.
- The fastest year-over-year change in Total Debt over five years came in the quarter ended Sep 30, 2024 (growth of 658.2%), and the weakest in the quarter ended Dec 31, 2021 (a decline of 68.8%).
- Business Quant data shows TEO's Total Debt at $1.3 trillion (quarter ended Mar 31, 2026), $1.89 trillion (quarter ended Dec 31, 2025) and $1.43 trillion (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) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.08 Bn | 155.48 Bn | 27.03 Bn | 165.23 Bn |
| 2 | T-Mobile US | 175.17 Bn | 159.92 Bn | 14.76 Bn | 84.62 Bn |
| 3 | At&T | 167.81 Bn | 115.76 Bn | 25.82 Bn | 143.95 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | 4.71 Bn |
| 5 | Comcast | 76.40 Bn | 40.65 Bn | - | 90.38 Bn |
| 6 | Chunghwa Telecom | 35.35 Bn | 31.20 Bn | 728.80 Mn | 186.48 Mn |
| 7 | EchoStar | 26.08 Bn | 17.22 Bn | 1.65 Bn | 17.43 Bn |
| 8 | AST SpaceMobile | 23.11 Bn | 23.62 Bn | 7.95 Mn | 2.97 Bn |
| 9 | Bce | 18.79 Bn | 17.12 Bn | - | 30.20 Bn |
| 10 | Telecom Argentina | 5.24 Bn | 5,485.56 Bn | - | 1,107.85 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,107.85 Bn |
| Mar 31, 2026 | 1,302.45 Bn |
| Dec 31, 2025 | 1,888.86 Bn |
| Sep 30, 2025 | 1,433.45 Bn |
| Jun 30, 2025 | 1,371.97 Bn |
| Mar 31, 2025 | 1,198.14 Bn |
| Dec 31, 2024 | 1,411.18 Bn |
| Sep 30, 2024 | 1,029.94 Bn |
| Mar 31, 2024 | -396.81 Bn |
| Dec 31, 2023 | 491.50 Bn |
| Sep 30, 2023 | 135.85 Bn |
| Jun 30, 2023 | 233.95 Bn |
| Mar 31, 2023 | 91.86 Bn |
| Dec 31, 2022 | 243.02 Bn |
| Sep 30, 2022 | 59.43 Bn |
| Jun 30, 2022 | 108.45 Bn |
| Mar 31, 2022 | 97.39 Bn |
| Dec 31, 2021 | 86.10 Bn |
| Sep 30, 2021 | 80.43 Bn |
| Jun 30, 2021 | 65.43 Bn |
Telecom Argentina Total Debt 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=total-debt&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();