EchoStar (ECHO) Accumulated Expenses (2010 - 2026)
EchoStar's Accumulated Expenses came in at $52.04 million for Q3 2023, up 19.5% from the prior quarter.
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Analysis
EchoStar (ECHO) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2022, EchoStar's Accumulated Expenses was $39.88 million.
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 |
|---|---|
| Jun 30, 2026 | 170.35 Mn |
| Mar 31, 2026 | 626.23 Mn |
| Dec 31, 2025 | 309.46 Mn |
| Sep 30, 2025 | 631.93 Mn |
| Jun 30, 2025 | 308.92 Mn |
| Mar 31, 2025 | 667.67 Mn |
| Dec 31, 2024 | 352.50 Mn |
| Sep 30, 2024 | 406.62 Mn |
| Jun 30, 2024 | 289.30 Mn |
| Mar 31, 2024 | 408.13 Mn |
| Dec 31, 2023 | 297.68 Mn |
| Sep 30, 2023 | 52.04 Mn |
| Jun 30, 2023 | 43.55 Mn |
| Dec 31, 2022 | 298.04 Mn |
| Sep 30, 2019 | 37.04 Mn |
| Jun 30, 2019 | 42.84 Mn |
| Mar 31, 2019 | 55.55 Mn |
| Dec 31, 2018 | 45.35 Mn |
| Sep 30, 2018 | 57.59 Mn |
| Jun 30, 2018 | 45.86 Mn |
API Access
EchoStar Accumulated 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=accumulated-expenses&ticker=ECHO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();