EchoStar (ECHO) Accumulated Expenses (2010 - 2026)
EchoStar's Accumulated Expenses came in at $276.04 million for Q3 2026, down 56.3% from $631.93 million a year earlier but up 62.0% from the prior quarter.
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Analysis
EchoStar (ECHO) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, EchoStar's Accumulated Expenses was $309.46 million, down 12.2% from FY2024.
- Accumulated Expenses carries a three-year compound annual growth rate of 1.3% (FY2022 to FY2025).
- Going back by year, Accumulated Expenses was $352.5 million in FY2024 (+18.4%), $297.68 million in FY2023 (-0.1%) and $298.04 million in FY2022.
- The five-year range for quarterly Accumulated Expenses is $43.55 million (Q2 2023) to $667.67 million (Q1 2025).
- Year-over-year, Accumulated Expenses has declined for four consecutive quarters, with growth averaging 3.1% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2024 (growth of 681.3%), and the weakest in Q3 2026 (a decline of 56.3%).
- Business Quant data shows ECHO's Accumulated Expenses at $170.35 million (Q2 2026), $626.23 million (Q1 2026) and $309.46 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn |
| 10 | Telefonica Brasil | 18.40 Bn | 12.42 Bn | 1.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 276.04 Mn |
| 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 |
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();