EchoStar (ECHO) Price to Earnings (2010 - 2023)
EchoStar's Price to Earnings was 1.07 in Q3 2023, up 199.4% from 0.36 a year earlier and up 38.8% from the prior quarter.
Analysis
EchoStar (ECHO) Price to Earnings (2010 - 2023) Analysis & Trends
For FY2022, Price to Earnings at EchoStar came in at 0.57, down 40.6% from FY2021.
- In earlier years, Price to Earnings was 0.95 in FY2021.
- The Q3 2023 figure marks the highest quarterly Price to Earnings since Q3 2021.
- Compared with a year earlier, Price to Earnings was higher in two of the last seven quarters, with an average decline of 10.5%.
- Per Business Quant data, ECHO's Price to Earnings in the three quarters before Q3 2023 was 0.77 (Q2 2023), 0.69 (Q1 2023) and 0.57 (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn |
| 10 | Bce | 18.89 Bn | 17.02 Bn | 3.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 1.07 |
| Jun 30, 2023 | 0.77 |
| Mar 31, 2023 | 0.69 |
| Dec 31, 2022 | 0.57 |
| Sep 30, 2022 | 0.36 |
| Jun 30, 2022 | 0.47 |
| Mar 31, 2022 | 0.71 |
| Dec 31, 2021 | 0.95 |
| Sep 30, 2021 | 15.11 |
| Jun 30, 2021 | 15.58 |
| Mar 31, 2021 | 24.31 |
| Sep 30, 2018 | 9.39 |
| Jun 30, 2018 | 8.57 |
| Mar 31, 2018 | 12.30 |
| Dec 31, 2017 | 11.76 |
| Sep 30, 2017 | 37.36 |
| Jun 30, 2017 | 38.93 |
| Mar 31, 2017 | 25.73 |
| Dec 31, 2016 | 21.50 |
| Sep 30, 2016 | 15.90 |
API Access
EchoStar 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=ECHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "ECHO", "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=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();