Telecom Argentina (TEO) Receivables (2009 - 2026)
Telecom Argentina (TEO) posted Receivables of $1.02 trillion for the quarter ended Jun 30, 2026, up 15.9% from $882.77 billion a year earlier and up 0.3% from the prior quarter.
Telecom Argentina (TEO) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Telecom Argentina's Receivables came in at $1.12 trillion, up 150.0% from the prior year.
- Annual Receivables has increased for six consecutive years, with a five-year compound annual growth rate of 95.7% (years ended Dec 2020 to Dec 2025).
- In prior years, Telecom Argentina's Receivables was $448.25 billion in the year ended Dec 31, 2024 (+1.1%), $443.3 billion in the year ended Dec 31, 2023 (+149.1%), $177.98 billion in the year ended Dec 31, 2022 (+191.0%) and $61.17 billion in the year ended Dec 31, 2021 (+56.8%).
- Quarterly Receivables has run from a low of $26.19 billion in the quarter ended Sep 30, 2021 to a high of $1.12 trillion in the quarter ended Dec 31, 2025 over five years.
- On a year-over-year basis, Receivables has increased in each of the last 23 quarters, with growth averaging 128.8% over the last eight quarters.
- The year-over-year growth in Receivables has ranged between 1.1% (the quarter ended Dec 31, 2024) and 254.0% (the quarter ended Mar 31, 2024) over the last five years.
- According to Business Quant data, Receivables for the three prior quarters was $1.02 trillion (quarter ended Mar 31, 2026), $1.12 trillion (quarter ended Dec 31, 2025) and $961.56 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.08 Bn | 155.48 Bn | 27.03 Bn | 27.43 Bn |
| 2 | T-Mobile US | 175.17 Bn | 159.92 Bn | 14.76 Bn | 6.25 Bn |
| 3 | At&T | 167.81 Bn | 115.76 Bn | 25.82 Bn | 12.91 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | 874.30 Mn |
| 5 | Comcast | 76.40 Bn | 40.65 Bn | - | 13.96 Bn |
| 6 | Chunghwa Telecom | 35.35 Bn | 31.20 Bn | 728.80 Mn | 1.10 Bn |
| 7 | EchoStar | 26.08 Bn | 17.22 Bn | 1.65 Bn | 905.61 Mn |
| 8 | AST SpaceMobile | 23.11 Bn | 23.62 Bn | 7.95 Mn | 90.20 Mn |
| 9 | Bce | 18.79 Bn | 17.12 Bn | - | 3.41 Bn |
| 10 | Telecom Argentina | 5.24 Bn | 5,485.56 Bn | - | 1,023.49 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,023.49 Bn |
| Mar 31, 2026 | 1,020.08 Bn |
| Dec 31, 2025 | 1,120.74 Bn |
| Sep 30, 2025 | 961.56 Bn |
| Jun 30, 2025 | 882.77 Bn |
| Mar 31, 2025 | 859.90 Bn |
| Dec 31, 2024 | 448.25 Bn |
| Sep 30, 2024 | 317.02 Bn |
| Jun 30, 2024 | 307.83 Bn |
| Mar 31, 2024 | 260.42 Bn |
| Dec 31, 2023 | 443.30 Bn |
| Sep 30, 2023 | 97.74 Bn |
| Jun 30, 2023 | 91.80 Bn |
| Mar 31, 2023 | 73.56 Bn |
| Dec 31, 2022 | 177.98 Bn |
| Sep 30, 2022 | 42.96 Bn |
| Jun 30, 2022 | 39.91 Bn |
| Mar 31, 2022 | 37.73 Bn |
| Dec 31, 2021 | 61.17 Bn |
| Sep 30, 2021 | 26.19 Bn |
Telecom Argentina Receivables 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&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();