Telecom Argentina (TEO) Enterprise Value (2015 - 2026)
Telecom Argentina (TEO) recorded Enterprise Value of $7.88 trillion in the quarter ended Jun 30, 2026, up 33.6% from $5.9 trillion a year earlier and up 12.1% from the prior quarter.
Telecom Argentina (TEO) Enterprise Value (2015 - 2026) Analysis & Trends
On a TTM basis, Telecom Argentina's Enterprise Value came in at $5.49 trillion as of Jun 30, 2026, up 26.7% year-over-year; for the year ended Dec 31, 2025, it came in at $7.1 trillion, up 8.0% from the prior year.
- Annual Enterprise Value has increased for eight straight years, with a five-year compound annual growth rate of 60.8% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Enterprise Value came in at $6.57 trillion in the year ended Dec 31, 2024 (+27.8%), $5.15 trillion in the year ended Dec 31, 2023 (+103.7%), $2.53 trillion in the year ended Dec 31, 2022 (+122.9%) and $1.13 trillion in the year ended Dec 31, 2021 (+71.4%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Enterprise Value in data going back to the quarter ended Dec 31, 2015.
- On a year-over-year basis, Enterprise Value has increased for six consecutive quarters, with growth averaging 66.9% over the last seven quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 405.5% in the quarter ended Jun 30, 2024, against a decline of 98.2% in the quarter ended Dec 31, 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.03 trillion (quarter ended Mar 31, 2026), $7.1 trillion (quarter ended Dec 31, 2025) and $6.04 trillion (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 | 7,879.13 Bn |
| Mar 31, 2026 | 7,029.32 Bn |
| Dec 31, 2025 | 7,099.58 Bn |
| Sep 30, 2025 | 6,041.97 Bn |
| Jun 30, 2025 | 5,897.20 Bn |
| Mar 31, 2025 | 5,611.41 Bn |
| Dec 31, 2024 | 6,574.23 Bn |
| Sep 30, 2024 | 4,554.64 Bn |
| Jun 30, 2024 | 4,473.60 Bn |
| Mar 31, 2024 | 3,281.42 Bn |
| Dec 31, 2023 | -556.74 Bn |
| Sep 30, 2023 | 1,244.68 Bn |
| Jun 30, 2023 | 885.00 Bn |
| Mar 31, 2023 | 717.57 Bn |
| Dec 31, 2022 | -1.70 Bn |
| Sep 30, 2022 | 641.75 Bn |
| Jun 30, 2022 | 710.10 Bn |
| Mar 31, 2022 | 606.67 Bn |
| Dec 31, 2021 | 11.76 Bn |
| Sep 30, 2021 | 549.62 Bn |
Telecom Argentina Enterprise Value 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=enterprise-value&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();