Telecom Argentina (TEO) Goodwill (2017 - 2026)
Telecom Argentina's Goodwill was $5.19 trillion in the quarter ended Jun 30, 2026, up 33.6% from $3.89 trillion a year earlier and up 6.8% from the prior quarter.
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Analysis
Telecom Argentina (TEO) Goodwill (2017 - 2026) Analysis & Trends
From the quarter ended Dec 31, 2017 onward, Telecom Argentina has reported Goodwill for 35 quarters.
- Goodwill has now increased for eight consecutive years, with a five-year compound annual growth rate of 68.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Goodwill was $4.44 trillion in the year ended Dec 31, 2024 (+8.2%), $4.1 trillion in the year ended Dec 31, 2023 (+166.2%), $1.54 trillion in the year ended Dec 31, 2022 (+108.6%) and $738.46 billion in the year ended Dec 31, 2021 (+94.2%).
- Quarterly Goodwill has moved between $344.64 billion (the quarter ended Sep 30, 2021) and $5.19 trillion (the quarter ended Dec 31, 2025) over five years.
- Compared with a year earlier, Goodwill has increased for 31 straight quarters, with growth averaging 53.8% over the last eight quarters.
- The year-over-year growth in Goodwill has ranged between 8.2% (the quarter ended Dec 31, 2024) and 288.1% (the quarter ended Mar 31, 2024) over the last five years.
- Per Business Quant data, TEO's Goodwill in the three quarters before the quarter ended Jun 30, 2026 was $4.86 trillion (quarter ended Mar 31, 2026), $5.19 trillion (quarter ended Dec 31, 2025) and $4.12 trillion (quarter ended Sep 30, 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5,190.88 Bn |
| Mar 31, 2026 | 4,860.18 Bn |
| Dec 31, 2025 | 5,192.63 Bn |
| Sep 30, 2025 | 4,122.24 Bn |
| Jun 30, 2025 | 3,885.28 Bn |
| Mar 31, 2025 | 3,662.41 Bn |
| Dec 31, 2024 | 4,436.74 Bn |
| Sep 30, 2024 | 3,119.74 Bn |
| Jun 30, 2024 | 2,783.52 Bn |
| Mar 31, 2024 | 2,337.14 Bn |
| Dec 31, 2023 | 4,100.68 Bn |
| Sep 30, 2023 | 1,005.27 Bn |
| Jun 30, 2023 | 745.68 Bn |
| Mar 31, 2023 | 602.27 Bn |
| Dec 31, 2022 | 1,540.71 Bn |
| Sep 30, 2022 | 422.22 Bn |
| Jun 30, 2022 | 516.66 Bn |
| Mar 31, 2022 | 440.17 Bn |
| Dec 31, 2021 | 738.46 Bn |
| Sep 30, 2021 | 344.64 Bn |
API Access
Telecom Argentina Goodwill 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=goodwill&ticker=TEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();