Telecom Argentina (TEO) Dividend Coverage Ratio (2018 - 2020)
Telecom Argentina's (TEO) Dividend Coverage Ratio was -167.32 for the year ended Dec 31, 2022, compared with -5.32 a year earlier.
Analysis
Telecom Argentina (TEO) Dividend Coverage Ratio (2018 - 2020) Analysis & Trends
Dating back to the year ended Dec 31, 2010, Telecom Argentina's Dividend Coverage Ratio record includes 10 years.
- The figure for the year ended Dec 31, 2022 ranks as the lowest annual Dividend Coverage Ratio in data going back to the year ended Dec 31, 2010.
- According to Business Quant data, Dividend Coverage Ratio came in at -5.32 in the year ended Dec 31, 2021, -4.73 in the year ended Dec 31, 2020 and 0.20 in the year ended Dec 31, 2018 (-86.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (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 | 2.94 |
| 3 | At&T | 167.81 Bn | 115.76 Bn | 25.82 Bn | 2.32 |
| 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 | - | 1.37 |
| 10 | Telecom Argentina | 5.24 Bn | 5,485.56 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | -8.36 |
| Sep 30, 2020 | -1,280.50 |
| Sep 30, 2019 | -2.41 |
| Dec 31, 2018 | 1.55 |
| Sep 30, 2018 | -4.73 |
| Jun 30, 2018 | 0.87 |
| Mar 31, 2018 | 0.00 |
API Access
Telecom Argentina Dividend Coverage Ratio 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=dividend-coverage-ratio&ticker=TEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "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=dividend-coverage-ratio&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();