Telecom Argentina (TEO) Market Capitalization (2015 - 2026)
Telecom Argentina (TEO) reported Market Capitalization of $5.6 billion for the quarter ended Jun 30, 2026, up 47.2% from $3.8 billion a year earlier and up 11.2% from the prior quarter.
Telecom Argentina (TEO) Market Capitalization (2015 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Telecom Argentina posted Market Capitalization of $5 billion, down 7.8% from the prior year.
- Market Capitalization has a five-year compound annual growth rate of 12.1% (years ended Dec 2020 to Dec 2025).
- By year, Market Capitalization came in at $5.42 billion in the year ended Dec 31, 2024 (+76.1%), $3.08 billion in the year ended Dec 31, 2023 (+31.2%), $2.35 billion in the year ended Dec 31, 2022 (+6.9%) and $2.2 billion in the year ended Dec 31, 2021 (-22.3%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Market Capitalization since the quarter ended Jun 30, 2019.
- Year over year, Market Capitalization gained in six of the last eight quarters, with growth averaging 29.3%.
- The high point for year-over-year Market Capitalization in five years was the quarter ended Dec 31, 2024 (growth of 76.1%); the low point was the quarter ended Sep 30, 2021 (a decline of 24.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $5.04 billion (quarter ended Mar 31, 2026), $5 billion (quarter ended Dec 31, 2025) and $3.13 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 191.08 Bn | 155.48 Bn | 27.03 Bn |
| 2 | T-Mobile US | 175.17 Bn | 159.92 Bn | 14.76 Bn |
| 3 | At&T | 167.81 Bn | 115.76 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn |
| 5 | Comcast | 76.40 Bn | 40.65 Bn | - |
| 6 | Chunghwa Telecom | 35.35 Bn | 31.20 Bn | 728.80 Mn |
| 7 | EchoStar | 26.08 Bn | 17.22 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 23.11 Bn | 23.62 Bn | 7.95 Mn |
| 9 | Bce | 18.79 Bn | 17.12 Bn | - |
| 10 | Telecom Argentina | 5.24 Bn | 5,485.56 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.60 Bn |
| Mar 31, 2026 | 5.04 Bn |
| Dec 31, 2025 | 5.00 Bn |
| Sep 30, 2025 | 3.13 Bn |
| Jun 30, 2025 | 3.80 Bn |
| Mar 31, 2025 | 4.39 Bn |
| Dec 31, 2024 | 5.42 Bn |
| Sep 30, 2024 | 3.25 Bn |
| Jun 30, 2024 | 3.11 Bn |
| Mar 31, 2024 | 3.42 Bn |
| Dec 31, 2023 | 3.08 Bn |
| Sep 30, 2023 | 2.06 Bn |
| Jun 30, 2023 | 2.62 Bn |
| Mar 31, 2023 | 2.15 Bn |
| Dec 31, 2022 | 2.35 Bn |
| Sep 30, 2022 | 1.73 Bn |
| Jun 30, 2022 | 1.96 Bn |
| Mar 31, 2022 | 2.59 Bn |
| Dec 31, 2021 | 2.20 Bn |
| Sep 30, 2021 | 2.13 Bn |
Telecom Argentina Market Capitalization 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=market-capitalization&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();