EchoStar (ECHO) Total Non-Current Liabilities (2009 - 2026)
EchoStar (ECHO) posted Total Non-Current Liabilities of $21.41 billion for Q2 2026, down 37.8% from $34.42 billion a year earlier and down 10.6% from the prior quarter.
EchoStar (ECHO) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, EchoStar's Total Non-Current Liabilities came in at $24.84 billion, down 28.7% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 64.8% (FY2020 to FY2025).
- In prior years, EchoStar's Total Non-Current Liabilities was $34.86 billion in FY2024 (+21.5%), $28.7 billion in FY2023 (-5.1%), $30.26 billion in FY2022 and $2.17 billion in FY2021 (+6.4%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q3 2023.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last four quarters, with an average decline of 6.1% over the last seven quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2024, with growth of 21.5%; the weakest was Q2 2026, with a decline of 37.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $23.93 billion (Q1 2026), $24.84 billion (Q4 2025) and $28.3 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 242.78 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 133.73 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 190.02 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 1.39 Bn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 146.48 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 18.63 Mn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 21.41 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 3.42 Bn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | 33.67 Bn |
| 10 | Telefonica Brasil | 18.28 Bn | 12.27 Bn | 1.42 Bn | 192.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.41 Bn |
| Mar 31, 2026 | 23.93 Bn |
| Dec 31, 2025 | 24.84 Bn |
| Sep 30, 2025 | 28.30 Bn |
| Jun 30, 2025 | 34.42 Bn |
| Mar 31, 2025 | 34.45 Bn |
| Dec 31, 2024 | 34.86 Bn |
| Sep 30, 2024 | 30.57 Bn |
| Jun 30, 2024 | 28.65 Bn |
| Mar 31, 2024 | 28.71 Bn |
| Dec 31, 2023 | 28.70 Bn |
| Sep 30, 2023 | 2.17 Bn |
| Jun 30, 2023 | 2.17 Bn |
| Mar 31, 2023 | 2.17 Bn |
| Dec 31, 2022 | 30.26 Bn |
| Sep 30, 2022 | 2.18 Bn |
| Jun 30, 2022 | 2.18 Bn |
| Mar 31, 2022 | 2.19 Bn |
| Dec 31, 2021 | 2.17 Bn |
| Sep 30, 2021 | 2.17 Bn |
EchoStar Total Non-Current 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-non-current-liabilities&ticker=ECHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();