EchoStar (ECHO) Other Accumulated Expenses (2009 - 2026)
EchoStar's (ECHO) quarterly Other Accumulated Expenses came in at $1.7 billion in Q2 2026, up 3.07% year-over-year from $1.7 billion in Q2 2025, and down 32.64% quarter-over-quarter from $2.6 billion in Q1 2026.
EchoStar (ECHO) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
EchoStar has disclosed Other Accumulated Expenses across 18 years of filings, most recently posting $1.7 billion for Q2 2026.
- In Q2 2026, Other Accumulated Expenses rose 3.07% year-over-year to $1.7 billion; the TTM figure through Jun 2026 stood at $1.7 billion (up 3.07% YoY), while the FY2025 annual figure was $2.3 billion, up 28.99% from the prior year.
- Other Accumulated Expenses came in at $1.7 billion for Q2 2026 at EchoStar, down from $2.6 billion in the prior quarter.
- In the past five years, Other Accumulated Expenses ranged from a high of $2.6 billion in Q1 2026 to a low of $1.4 billion in Q4 2022.
- Average Other Accumulated Expenses over 5 years is $1.9 billion, with a median of $1.7 billion recorded in 2024.
- Year-over-year, Other Accumulated Expenses jumped 585.86% in 2022 and declined 3.26% in 2025.
- Over 5 years, Other Accumulated Expenses stood at $1.4 billion in 2022, then gained by 19.59% to $1.7 billion in 2023, then rose by 5.05% to $1.8 billion in 2024, then advanced by 28.99% to $2.3 billion in 2025, then dropped by 25.78% to $1.7 billion in 2026.
- Per Business Quant data, the three most recent Other Accumulated Expenses figures were $1.7 billion in Q2 2026, $2.6 billion in Q1 2026, and $2.3 billion in Q4 2025.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.73 Bn |
| Mar 31, 2026 | 2.56 Bn |
| Dec 31, 2025 | 2.33 Bn |
| Sep 30, 2025 | 2.27 Bn |
| Jun 30, 2025 | 1.68 Bn |
| Mar 31, 2025 | 1.74 Bn |
| Dec 31, 2024 | 1.80 Bn |
| Sep 30, 2024 | 1.70 Bn |
| Jun 30, 2024 | 1.73 Bn |
| Mar 31, 2024 | 1.73 Bn |
| Dec 31, 2023 | 1.72 Bn |
| Dec 31, 2022 | 1.44 Bn |
| Dec 31, 2021 | 209.44 Mn |
| Sep 30, 2021 | 241.62 Mn |
| Jun 30, 2021 | 297.65 Mn |
| Mar 31, 2021 | 304.02 Mn |
| Dec 31, 2020 | 300.00 Mn |
| Sep 30, 2020 | 276.70 Mn |
| Jun 30, 2020 | 262.94 Mn |
| Mar 31, 2020 | 239.71 Mn |
EchoStar Other 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=other-accumulated-expenses&ticker=ECHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();