EchoStar (ECHO) Return on Sales [ROS] (2009 - 2026)
EchoStar (ECHO) recorded Return on Sales [ROS] of 14.34% in Q2 2026, up 20.07 percentage points from -5.73% a year earlier and up 3.63 percentage points from the prior quarter.
EchoStar (ECHO) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, EchoStar's Return on Sales [ROS] came in at -112.71% as of Jun 30, 2026, down 109.31 percentage points year-over-year; for FY2025, it came in at -118.12%, down 116.19 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for four straight years, with a five-year change of -124.07 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -1.92% in FY2024 (-0.29 pp), -1.63% in FY2023 (-13.62 pp), 11.98% in FY2022 (-5.29 pp) and 17.27% in FY2021 (+11.31 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q2 2022.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -54.08 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 20.07 percentage points in Q2 2026, against a drop of 456.32 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 10.71% (Q1 2026), -20.54% (Q4 2025) and -460.45% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 20.96% |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 24.09% |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 22.30% |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 11.00% |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 17.23% |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 21.61% |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 14.34% |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | -1,018.86% |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | - |
| 10 | Telefonica Brasil | 18.28 Bn | 12.27 Bn | 1.42 Bn | 16.48% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.34% |
| Mar 31, 2026 | 10.71% |
| Dec 31, 2025 | -20.54% |
| Sep 30, 2025 | -460.45% |
| Jun 30, 2025 | -5.73% |
| Mar 31, 2025 | -2.28% |
| Dec 31, 2024 | -1.58% |
| Sep 30, 2024 | -4.13% |
| Jun 30, 2024 | -1.65% |
| Mar 31, 2024 | -0.38% |
| Dec 31, 2023 | -20.47% |
| Sep 30, 2023 | -0.76% |
| Jun 30, 2023 | 5.79% |
| Mar 31, 2023 | 8.05% |
| Dec 31, 2022 | 9.43% |
| Sep 30, 2022 | 10.31% |
| Jun 30, 2022 | 15.72% |
| Mar 31, 2022 | 12.33% |
| Dec 31, 2021 | 17.68% |
| Sep 30, 2021 | 12.40% |
EchoStar Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=ECHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();