EchoStar (ECHO) Price to Earnings (2010 - 2023)
EchoStar's (ECHO) quarterly Price to Earnings came in at 3.48 in Q2 2026, up 113.38% year-over-year from 1.63 in Q2 2025, and up 101.51% quarter-over-quarter from 230.35 in Q1 2026.
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Analysis
EchoStar (ECHO) Price to Earnings (2010 - 2023) Analysis & Trends
EchoStar has disclosed Price to Earnings across 18 years of filings, most recently posting 3.48 for Q2 2026.
- In Q2 2026, Price to Earnings rose 113.38% year-over-year to 3.48; the TTM figure through Jun 2026 stood at 5.19 (up 79.44% YoY), while the FY2025 annual figure was 2.16, up 95.89% from the prior year.
- Price to Earnings came in at 3.48 for Q2 2026 at EchoStar, up from 230.35 in the prior quarter.
- In the past five years, Price to Earnings ranged from a high of 18.72 in Q4 2024 to a low of 230.35 in Q1 2026.
- Average Price to Earnings over 5 years is 21.83, with a median of 1.97 recorded in 2023.
- The largest YoY upside for Price to Earnings was 946.83% in 2024 against a maximum downside of 699.4% in 2024.
- Over 5 years, Price to Earnings stood at 1.43 in 2022, then slumped by 255.13% to 2.21 in 2023, then soared by 946.83% to 18.72 in 2024, then tumbled by 238.31% to 25.9 in 2025, then jumped by 113.44% to 3.48 in 2026.
- Per Business Quant data, the three most recent Price to Earnings figures were 3.48 in Q2 2026, 230.35 in Q1 2026, and 25.9 in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 195.65 Bn | 160.05 Bn | 27.03 Bn |
| 2 | T-Mobile US | 177.81 Bn | 162.55 Bn | 14.76 Bn |
| 3 | At&T | 174.05 Bn | 122.00 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 146.85 Bn | 135.48 Bn | 318.12 Mn |
| 5 | Comcast | 77.49 Bn | 41.74 Bn | - |
| 6 | Chunghwa Telecom | 35.79 Bn | 31.63 Bn | 728.80 Mn |
| 7 | EchoStar | 26.14 Bn | 17.28 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 24.05 Bn | 24.55 Bn | 7.95 Mn |
| 9 | Bce | 19.56 Bn | 17.89 Bn | - |
| 10 | Telefonica Brasil | 18.53 Bn | 12.53 Bn | 1.42 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_KEYimport 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();