Telecom Argentina (TEO) Price to Earnings (2015 - 2026)
Telecom Argentina's (TEO) Price to Earnings stood at 0.01 in the quarter ended Jun 30, 2026, down 49.6% from the prior quarter.
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Analysis
Telecom Argentina (TEO) Price to Earnings (2015 - 2026) Analysis & Trends
For the year ended Dec 31, 2018, Telecom Argentina's Price to Earnings came in at 0.64, down 45.5% from the prior year.
- Annual Price to Earnings has declined for three straight years.
- Across earlier years, Price to Earnings came in at 1.17 in the year ended Dec 31, 2017 (-62.1%), 3.08 in the year ended Dec 31, 2016 (-45.2%) and 5.61 in the year ended Dec 31, 2015.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Price to Earnings since the quarter ended Sep 30, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn |
| 10 | Telecom Argentina | 5.06 Bn | 5,485.38 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.01 |
| Mar 31, 2026 | 0.01 |
| Sep 30, 2024 | 0.01 |
| Jun 30, 2024 | 0.00 |
| Mar 31, 2024 | 0.01 |
| Sep 30, 2023 | 0.01 |
| Jun 30, 2022 | 0.03 |
| Mar 31, 2022 | 0.06 |
| Dec 31, 2021 | 0.22 |
| Sep 30, 2020 | 0.20 |
| Mar 31, 2020 | 1.05 |
| Dec 31, 2019 | 325.87 |
| Jun 30, 2018 | 0.32 |
| Mar 31, 2018 | 0.69 |
| Dec 31, 2017 | 0.67 |
| Sep 30, 2017 | 1.88 |
| Jun 30, 2017 | 1.92 |
| Mar 31, 2017 | 2.06 |
| Dec 31, 2016 | 3.08 |
| Sep 30, 2016 | 1.05 |
API Access
Telecom Argentina Price to Earnings 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=price-to-earnings&ticker=TEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();