Telecom Argentina (TEO) Enterprise Value (2015 - 2025)
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.
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Analysis
Telecom Argentina (TEO) Enterprise Value (2015 - 2025) 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 186.66 Bn | 186.66 Bn | - |
| 2 | T-Mobile US | 167.65 Bn | 150.09 Bn | 15.13 Bn |
| 3 | At&T | 145.86 Bn | 87.32 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 129.78 Bn | 121.51 Bn | 318.12 Mn |
| 5 | Comcast | 82.44 Bn | 48.23 Bn | - |
| 6 | Vodafone Group Public | 38.03 Bn | 7.43 Bn | - |
| 7 | Chunghwa Telecom | 37.97 Bn | 29.99 Bn | 728.80 Mn |
| 8 | EchoStar | 28.08 Bn | 19.17 Bn | 1.65 Bn |
| 9 | Bce | 18.88 Bn | 17.00 Bn | 3.38 Bn |
| 10 | Telecom Argentina | 4.57 Bn | 2.38 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.46 Bn |
| Sep 30, 2025 | 2.63 Bn |
| Dec 31, 2024 | 5.02 Bn |
| Dec 31, 2023 | 2.34 Bn |
| Dec 31, 2022 | 2.05 Bn |
| Dec 31, 2021 | 2.00 Bn |
| Dec 31, 2020 | 2.61 Bn |
| Dec 31, 2019 | 4.46 Bn |
| Dec 31, 2018 | 6.52 Bn |
| Dec 31, 2017 | 6.95 Bn |
| Dec 31, 2016 | 3.33 Bn |
| Dec 31, 2015 | 3.26 Bn |
API Access
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_KEYimport 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();