EchoStar (ECHO) Other Accumulated Expenses (2009 - 2026)
EchoStar's Other Accumulated Expenses came in at $720.39 million for Q3 2026, down 68.2% from $2.27 billion a year earlier and down 58.3% from the prior quarter.
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Analysis
EchoStar (ECHO) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, EchoStar's Other Accumulated Expenses was $2.33 billion, up 29.0% from FY2024.
- Other Accumulated Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 50.6% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $1.8 billion in FY2024 (+5.0%), $1.72 billion in FY2023 (+19.6%), $1.44 billion in FY2022 (+585.9%) and $209.44 million in FY2021 (-30.2%).
- The Q3 2026 figure represents the lowest quarterly Other Accumulated Expenses since Q4 2021.
- Year-over-year, Other Accumulated Expenses increased in six of the last eight quarters, with growth averaging 5.8%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q4 2022 (growth of 585.9%), and the weakest in Q3 2026 (a decline of 68.2%).
- Business Quant data shows ECHO's Other Accumulated Expenses at $1.73 billion (Q2 2026), $2.56 billion (Q1 2026) and $2.33 billion (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 | 720.39 Mn |
| 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 |
API Access
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_KEYimport 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();