Telecom Argentina (TEO) Receivables - Net (2009 - 2025)
Telecom Argentina (TEO) recorded Receivables - Net of $813.28 billion in the quarter ended Jun 30, 2026, up 11.7% from $728.37 billion a year earlier and up 1.9% from the prior quarter.
Telecom Argentina (TEO) Receivables - Net (2009 - 2025) Analysis & Trends
As of Dec 31, 2025, Telecom Argentina reported Receivables - Net of $933.82 billion, up 139.8% from the prior year.
- Annual Receivables - Net has increased for six straight years, with a five-year compound annual growth rate of 100.8% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables - Net came in at $389.38 billion in the year ended Dec 31, 2024 (+10.3%), $352.89 billion in the year ended Dec 31, 2023 (+201.3%), $117.14 billion in the year ended Dec 31, 2022 (+166.6%) and $43.93 billion in the year ended Dec 31, 2021 (+53.6%).
- Quarterly Receivables - Net has ranged from $19.94 billion in the quarter ended Sep 30, 2021 to $933.82 billion in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, Receivables - Net has increased for 23 consecutive quarters, with growth averaging 134.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Receivables - Net ranged from 9.9% (the quarter ended Mar 31, 2026) to 343.8% (the quarter ended Jun 30, 2024).
- Per Business Quant, the preceding three quarters came in at $797.81 billion (quarter ended Mar 31, 2026), $933.82 billion (quarter ended Dec 31, 2025) and $776.94 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 187.75 Bn | 187.75 Bn | - |
| 2 | T-Mobile US | 169.21 Bn | 151.64 Bn | 15.13 Bn |
| 3 | At&T | 146.68 Bn | 88.14 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 133.86 Bn | 125.59 Bn | 318.12 Mn |
| 5 | Comcast | 82.38 Bn | 48.18 Bn | - |
| 6 | Vodafone Group Public | 38.22 Bn | 7.62 Bn | - |
| 7 | Chunghwa Telecom | 38.00 Bn | 30.01 Bn | 728.80 Mn |
| 8 | EchoStar | 27.88 Bn | 18.96 Bn | 1.65 Bn |
| 9 | Bce | 18.96 Bn | 17.08 Bn | 3.38 Bn |
| 10 | Telecom Argentina | 4.63 Bn | 2.44 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 550.60 Mn |
| Sep 30, 2025 | 572.11 Mn |
| Dec 31, 2024 | 287.10 Mn |
| Dec 31, 2023 | 164.45 Mn |
| Dec 31, 2022 | 212.70 Mn |
| Dec 31, 2021 | 219.65 Mn |
| Dec 31, 2020 | 225.29 Mn |
| Dec 31, 2019 | 283.29 Mn |
| Dec 31, 2018 | 462.05 Mn |
| Dec 31, 2017 | 450.33 Mn |
| Dec 31, 2016 | 476.23 Mn |
| Dec 31, 2015 | 5.66 Bn |
| Sep 30, 2015 | 4.77 Bn |
| Jun 30, 2015 | 4.43 Bn |
| Mar 31, 2015 | 4.39 Bn |
| Dec 31, 2014 | 4.12 Bn |
| Sep 30, 2014 | 3.72 Bn |
| Jun 30, 2014 | 3.42 Bn |
| Mar 31, 2014 | 2.98 Bn |
| Dec 31, 2013 | 2.99 Bn |
Telecom Argentina Receivables - Net 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=receivables-net&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();