EchoStar (ECHO) Total Liabilities (2009 - 2026)
EchoStar's Total Liabilities was $19.32 billion in Q3 2026, down 49.5% from $38.26 billion a year earlier and down 23.4% from the prior quarter.
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Analysis
EchoStar (ECHO) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at EchoStar came in at $37.2 billion, down 8.6% from FY2024.
- In earlier years, Total Liabilities was $40.69 billion in FY2024 (+9.5%), $37.16 billion in FY2023 (unchanged), $37.16 billion in FY2022 and -$12.94 billion in FY2021.
- The Q3 2026 figure marks the lowest quarterly Total Liabilities since Q3 2023.
- Compared with a year earlier, Total Liabilities has declined for four straight quarters, with an average decline of 8.9% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2025 (growth of 13.4%); the worst was Q3 2026 (a decline of 49.5%).
- Per Business Quant data, ECHO's Total Liabilities in the three quarters before Q3 2026 was $25.22 billion (Q2 2026), $35.7 billion (Q1 2026) and $37.2 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 189.57 Bn | 155.91 Bn | 27.05 Bn | 308.23 Bn |
| 2 | T-Mobile US | 177.30 Bn | 159.74 Bn | 15.13 Bn | 156.80 Bn |
| 3 | At&T | 148.15 Bn | 89.61 Bn | 26.22 Bn | 323.12 Bn |
| 4 | Grupo Televisa, S.A.B | 144.51 Bn | 136.19 Bn | - | 7.00 Bn |
| 5 | Comcast | 85.95 Bn | 51.75 Bn | - | 165.24 Bn |
| 6 | Chunghwa Telecom | 37.94 Bn | 30.67 Bn | - | 4.39 Bn |
| 7 | Vodafone Group Public | 37.58 Bn | 6.97 Bn | - | 90.86 Bn |
| 8 | EchoStar | 30.20 Bn | 11.24 Bn | 647.20 Mn | 19.32 Bn |
| 9 | Bce | 20.05 Bn | 20.05 Bn | - | 40.24 Bn |
| 10 | Telefonica Brasil | 18.66 Bn | 13.32 Bn | - | 10.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.32 Bn |
| Jun 30, 2026 | 25.22 Bn |
| Mar 31, 2026 | 35.70 Bn |
| Dec 31, 2025 | 37.20 Bn |
| Sep 30, 2025 | 38.26 Bn |
| Jun 30, 2025 | 40.09 Bn |
| Mar 31, 2025 | 40.51 Bn |
| Dec 31, 2024 | 40.69 Bn |
| Sep 30, 2024 | 38.05 Bn |
| Jun 30, 2024 | 35.62 Bn |
| Mar 31, 2024 | 35.72 Bn |
| Dec 31, 2023 | 37.16 Bn |
| Sep 30, 2023 | -15.76 Bn |
| Jun 30, 2023 | -15.89 Bn |
| Mar 31, 2023 | -15.68 Bn |
| Dec 31, 2022 | 37.16 Bn |
| Sep 30, 2022 | 2.59 Bn |
| Jun 30, 2022 | 2.62 Bn |
| Mar 31, 2022 | 2.61 Bn |
| Dec 31, 2021 | -12.94 Bn |
API Access
EchoStar Total Liabilities 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=total-liabilities&ticker=ECHO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();