Telecom Argentina (TEO) Payables (2009 - 2026)
Telecom Argentina's Payables was $1.09 trillion in the quarter ended Jun 30, 2026, up 15.8% from $939.28 billion a year earlier and up 8.9% from the prior quarter.
Telecom Argentina (TEO) Payables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Payables at Telecom Argentina came in at $1.3 trillion, up 121.2% from the prior year.
- Payables shows a five-year compound annual growth rate of 81.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Payables was $585.88 billion in the year ended Dec 31, 2024, -$65.18 billion in the year ended Dec 31, 2023, $277.95 billion in the year ended Dec 31, 2022 (+147.1%) and $112.49 billion in the year ended Dec 31, 2021 (+72.1%).
- Quarterly Payables has moved between -$438.71 billion (the quarter ended Mar 31, 2024) and $1.3 trillion (the quarter ended Dec 31, 2025) over five years.
- Compared with a year earlier, Payables has increased for four straight quarters, with growth averaging 85.6% over the last five quarters.
- Across the past five years, year-over-year growth in Payables ran from 15.8% in the quarter ended Jun 30, 2026 to 147.1% in the quarter ended Dec 31, 2022.
- Per Business Quant data, TEO's Payables in the three quarters before the quarter ended Jun 30, 2026 was $998.71 billion (quarter ended Mar 31, 2026), $1.3 trillion (quarter ended Dec 31, 2025) and $963.02 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.08 Bn | 155.48 Bn | 27.03 Bn | 20.42 Bn |
| 2 | T-Mobile US | 175.17 Bn | 159.92 Bn | 14.76 Bn | 14.89 Bn |
| 3 | At&T | 167.81 Bn | 115.76 Bn | 25.82 Bn | 39.99 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | 325.55 Mn |
| 5 | Comcast | 76.40 Bn | 40.65 Bn | - | 11.86 Bn |
| 6 | Chunghwa Telecom | 35.35 Bn | 31.20 Bn | 728.80 Mn | 1.66 Bn |
| 7 | EchoStar | 26.08 Bn | 17.22 Bn | 1.65 Bn | 251.88 Mn |
| 8 | AST SpaceMobile | 23.11 Bn | 23.62 Bn | 7.95 Mn | 60.62 Mn |
| 9 | Bce | 18.79 Bn | 17.12 Bn | - | 3.32 Bn |
| 10 | Telecom Argentina | 5.24 Bn | 5,485.56 Bn | - | 1,087.69 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,087.69 Bn |
| Mar 31, 2026 | 998.71 Bn |
| Dec 31, 2025 | 1,295.71 Bn |
| Sep 30, 2025 | 963.02 Bn |
| Jun 30, 2025 | 939.28 Bn |
| Mar 31, 2025 | 846.70 Bn |
| Dec 31, 2024 | 585.88 Bn |
| Sep 30, 2024 | 393.34 Bn |
| Jun 30, 2024 | -428.73 Bn |
| Mar 31, 2024 | -438.71 Bn |
| Dec 31, 2023 | -65.18 Bn |
| Sep 30, 2023 | 172.14 Bn |
| Jun 30, 2023 | 135.05 Bn |
| Mar 31, 2023 | 107.12 Bn |
| Dec 31, 2022 | 277.95 Bn |
| Sep 30, 2022 | 82.20 Bn |
| Jun 30, 2022 | 73.57 Bn |
| Mar 31, 2022 | 68.04 Bn |
| Dec 31, 2021 | 112.49 Bn |
| Sep 30, 2021 | 58.00 Bn |
Telecom Argentina Payables 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=payables&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();