Telecom Argentina (TEO) Inventory (2009 - 2025)
Telecom Argentina (TEO) recorded Inventory of $87.74 billion in the quarter ended Jun 30, 2026, down 27.2% from $120.5 billion a year earlier but up 29.2% from the prior quarter.
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Analysis
Telecom Argentina (TEO) Inventory (2009 - 2025) Analysis & Trends
As of Dec 31, 2025, Telecom Argentina reported Inventory of $92.93 billion.
- Annual Inventory has a five-year compound annual growth rate of 75.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Inventory came in at -$497.58 billion in the year ended Dec 31, 2024, $83.74 billion in the year ended Dec 31, 2023 (+317.1%), $20.08 billion in the year ended Dec 31, 2022 (+230.9%) and $6.07 billion in the year ended Dec 31, 2021 (+8.0%).
- Quarterly Inventory has ranged from $2.25 billion in the quarter ended Mar 31, 2022 to $120.5 billion in the quarter ended Jun 30, 2025 over the past five years.
- On a year-over-year basis, Inventory rose in five of the last eight quarters, with growth averaging 62.5%.
- Peak year-over-year performance for Inventory in the last five years was growth of 410.1% in the quarter ended Mar 31, 2024, against a decline of 42.4% in the quarter ended Mar 31, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $67.93 billion (quarter ended Mar 31, 2026), $92.93 billion (quarter ended Dec 31, 2025) and $86.91 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.66 Bn | 186.66 Bn | - | 2.78 Bn |
| 2 | T-Mobile US | 167.65 Bn | 150.09 Bn | 15.13 Bn | 3.09 Bn |
| 3 | At&T | 145.86 Bn | 87.32 Bn | 26.22 Bn | 2.89 Bn |
| 4 | Grupo Televisa, S.A.B | 129.78 Bn | 121.51 Bn | 318.12 Mn | 31.29 Mn |
| 5 | Comcast | 82.44 Bn | 48.23 Bn | - | - |
| 6 | Vodafone Group Public | 38.03 Bn | 7.43 Bn | - | 683.02 Mn |
| 7 | Chunghwa Telecom | 37.97 Bn | 29.99 Bn | 728.80 Mn | 552.35 Mn |
| 8 | EchoStar | 28.08 Bn | 19.17 Bn | 1.65 Bn | 322.39 Mn |
| 9 | Bce | 18.88 Bn | 17.00 Bn | 3.38 Bn | 316.00 Mn |
| 10 | Telecom Argentina | 4.57 Bn | 2.38 Bn | - | 64.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 64.58 Mn |
| Sep 30, 2025 | 74.82 Mn |
| Dec 31, 2024 | 66.18 Mn |
| Dec 31, 2023 | 40.71 Mn |
| Dec 31, 2022 | 39.23 Mn |
| Dec 31, 2021 | 33.48 Mn |
| Dec 31, 2020 | 47.25 Mn |
| Dec 31, 2019 | 57.41 Mn |
| Dec 31, 2018 | 76.65 Mn |
| Dec 31, 2017 | 99.13 Mn |
| Dec 31, 2016 | 83.72 Mn |
| Dec 31, 2015 | 176.08 Mn |
| Sep 30, 2015 | 2.23 Bn |
| Jun 30, 2015 | 731.00 Mn |
| Mar 31, 2015 | 719.00 Mn |
| Sep 30, 2014 | 1.09 Bn |
| Jun 30, 2014 | 1.03 Bn |
| Mar 31, 2014 | 1.06 Bn |
| Dec 31, 2013 | 772.00 Mn |
| Sep 30, 2013 | 1.09 Bn |
API Access
Telecom Argentina Inventory 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=inventory&ticker=TEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();