Telecom Argentina (TEO) Other Accumulated Expenses (2009 - 2026)
Telecom Argentina (TEO) posted Other Accumulated Expenses of $62.8 billion for the quarter ended Jun 30, 2026, up 32.2% from $47.49 billion a year earlier and up 7.7% from the prior quarter.
Telecom Argentina (TEO) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Telecom Argentina's Other Accumulated Expenses came in at $61.91 billion, up 207.0% from the prior year.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 104.2% (years ended Dec 2020 to Dec 2025).
- In prior years, Telecom Argentina's Other Accumulated Expenses was $20.16 billion in the year ended Dec 31, 2024 (-16.1%), $24.03 billion in the year ended Dec 31, 2023 (+195.8%), $8.13 billion in the year ended Dec 31, 2022 (+233.7%) and $2.44 billion in the year ended Dec 31, 2021 (+39.5%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Other Accumulated Expenses in data going back to the quarter ended Mar 31, 2009.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last three quarters, with growth averaging 167.4% over the last seven quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was the quarter ended Jun 30, 2025, with growth of 470.9%; the weakest was the quarter ended Dec 31, 2024, with a decline of 16.1%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $58.3 billion (quarter ended Mar 31, 2026), $61.91 billion (quarter ended Dec 31, 2025) and -$225.28 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn |
| 10 | Telecom Argentina | 5.06 Bn | 5,485.38 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.80 Bn |
| Mar 31, 2026 | 58.30 Bn |
| Dec 31, 2025 | 61.91 Bn |
| Sep 30, 2025 | -225.28 Bn |
| Jun 30, 2025 | 47.49 Bn |
| Mar 31, 2025 | 48.16 Bn |
| Dec 31, 2024 | 20.16 Bn |
| Sep 30, 2024 | 9.62 Bn |
| Jun 30, 2024 | 8.32 Bn |
| Mar 31, 2024 | 10.21 Bn |
| Dec 31, 2023 | 24.03 Bn |
| Sep 30, 2023 | 5.19 Bn |
| Jun 30, 2023 | 4.11 Bn |
| Mar 31, 2023 | 2.70 Bn |
| Dec 31, 2022 | 8.13 Bn |
| Sep 30, 2022 | 2.43 Bn |
| Jun 30, 2022 | 2.15 Bn |
| Mar 31, 2022 | 1.38 Bn |
| Dec 31, 2021 | 2.44 Bn |
| Sep 30, 2021 | 1.56 Bn |
Telecom Argentina Other Accumulated Expenses 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=other-accumulated-expenses&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();