EchoStar (ECHO) Operating Expenses (2009 - 2026)
EchoStar (ECHO) reported Operating Expenses of $3.06 billion for Q2 2026, down 22.2% from $3.94 billion a year earlier and down 6.5% from the prior quarter.
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Analysis
EchoStar (ECHO) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, EchoStar's Operating Expenses came in at $31.17 billion, up 95.1% year-over-year; for FY2025, it was $32.73 billion, up 102.9% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 79.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $16.13 billion in FY2024 (-6.7%), $17.29 billion in FY2023 (+5.4%), $16.4 billion in FY2022 (unchanged) and $16.4 billion in FY2021 (+823.5%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q3 2022.
- Year over year, Operating Expenses gained in two of the last eight quarters, with growth averaging 43.6%.
- The high point for year-over-year Operating Expenses in five years was Q3 2023 (growth of 819.3%); the low point was Q4 2023 (a decline of 66.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.27 billion (Q1 2026), $4.58 billion (Q4 2025) and $20.26 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 193.94 Bn | 158.35 Bn | 27.03 Bn | 27.07 Bn |
| 2 | T-Mobile US | 178.90 Bn | 163.65 Bn | 14.76 Bn | 17.30 Bn |
| 3 | At&T | 170.76 Bn | 118.71 Bn | 25.82 Bn | 24.52 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | -117.85 Mn |
| 5 | Comcast | 77.07 Bn | 41.32 Bn | - | 24.78 Bn |
| 6 | Chunghwa Telecom | 35.67 Bn | 31.52 Bn | 728.80 Mn | 309.31 Mn |
| 7 | EchoStar | 25.89 Bn | 17.02 Bn | 1.65 Bn | 3.06 Bn |
| 8 | AST SpaceMobile | 23.74 Bn | 24.24 Bn | 7.95 Mn | 329.10 Mn |
| 9 | Bce | 19.19 Bn | 17.52 Bn | - | -2.51 Bn |
| 10 | Telefonica Brasil | 18.02 Bn | 12.02 Bn | 1.42 Bn | -904.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.06 Bn |
| Mar 31, 2026 | 3.27 Bn |
| Dec 31, 2025 | 4.58 Bn |
| Sep 30, 2025 | 20.26 Bn |
| Jun 30, 2025 | 3.94 Bn |
| Mar 31, 2025 | 3.96 Bn |
| Dec 31, 2024 | 4.03 Bn |
| Sep 30, 2024 | 4.05 Bn |
| Jun 30, 2024 | 4.02 Bn |
| Mar 31, 2024 | 4.03 Bn |
| Dec 31, 2023 | 5.01 Bn |
| Sep 30, 2023 | 4.14 Bn |
| Jun 30, 2023 | 4.10 Bn |
| Mar 31, 2023 | 4.03 Bn |
| Dec 31, 2022 | 15.04 Bn |
| Sep 30, 2022 | 450.35 Mn |
| Jun 30, 2022 | 453.41 Mn |
| Mar 31, 2022 | 456.47 Mn |
| Dec 31, 2021 | 15.09 Bn |
| Sep 30, 2021 | 442.06 Mn |
API Access
EchoStar Operating Expenses 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=operating-expenses&ticker=ECHO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();