Telecom Argentina (TEO) Receivables (2009 - 2025)
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.
Powered by 
Analysis
Telecom Argentina (TEO) Receivables (2009 - 2025) 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.66 Bn | 186.66 Bn | - | - |
| 2 | T-Mobile US | 167.65 Bn | 150.09 Bn | 15.13 Bn | 6.11 Bn |
| 3 | At&T | 145.86 Bn | 87.32 Bn | 26.22 Bn | 12.16 Bn |
| 4 | Grupo Televisa, S.A.B | 129.78 Bn | 121.51 Bn | 318.12 Mn | 368.28 Mn |
| 5 | Comcast | 82.44 Bn | 48.23 Bn | - | 13.54 Bn |
| 6 | Vodafone Group Public | 38.03 Bn | 7.43 Bn | - | 12.13 Bn |
| 7 | Chunghwa Telecom | 37.97 Bn | 29.99 Bn | 728.80 Mn | 1.09 Bn |
| 8 | EchoStar | 28.08 Bn | 19.17 Bn | 1.65 Bn | 905.61 Mn |
| 9 | Bce | 18.88 Bn | 17.00 Bn | 3.38 Bn | 3.32 Bn |
| 10 | Telecom Argentina | 4.57 Bn | 2.38 Bn | - | 680.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 680.70 Mn |
| Sep 30, 2025 | 572.11 Mn |
| Dec 31, 2024 | 378.01 Mn |
| Dec 31, 2023 | 473.35 Mn |
| Dec 31, 2022 | 332.61 Mn |
| Dec 31, 2021 | 326.10 Mn |
| Dec 31, 2020 | 309.85 Mn |
| Dec 31, 2019 | 388.04 Mn |
| Dec 31, 2018 | 642.33 Mn |
| Dec 31, 2017 | 549.93 Mn |
| Dec 31, 2016 | 562.40 Mn |
| Dec 31, 2015 | 7.00 Bn |
| Sep 30, 2015 | 5.62 Bn |
| Jun 30, 2015 | 5.12 Bn |
| Mar 31, 2015 | 5.04 Bn |
| Dec 31, 2014 | 4.79 Bn |
| Sep 30, 2014 | 4.40 Bn |
| Jun 30, 2014 | 4.11 Bn |
| Mar 31, 2014 | 3.67 Bn |
| Dec 31, 2013 | 3.63 Bn |
API Access
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_KEYimport 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();