EchoStar (ECHO) Other Non-Current Liabilities (2009 - 2026)
EchoStar (ECHO) posted Other Non-Current Liabilities of $1.89 billion for Q2 2026, up 444.7% from $347.72 million a year earlier and up 324.0% from the prior quarter.
EchoStar (ECHO) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, EchoStar's Other Non-Current Liabilities came in at $1.45 billion, up 342.3% from FY2024.
- Annual Other Non-Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 82.8% (FY2020 to FY2025).
- In prior years, EchoStar's Other Non-Current Liabilities was $327.03 million in FY2024 (+17.5%), $278.29 million in FY2023 (+52.0%), $183.14 million in FY2022 (+34.2%) and $136.43 million in FY2021 (+92.4%).
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last 15 quarters, with growth averaging 161.0% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q2 2026, with growth of 444.7%; the weakest was Q3 2022, with a decline of 11.8%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $446.75 million (Q1 2026), $1.45 billion (Q4 2025) and $1.56 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - |
| 10 | Telefonica Brasil | 18.28 Bn | 12.27 Bn | 1.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.89 Bn |
| Mar 31, 2026 | 446.75 Mn |
| Dec 31, 2025 | 1.45 Bn |
| Sep 30, 2025 | 1.56 Bn |
| Jun 30, 2025 | 347.72 Mn |
| Mar 31, 2025 | 338.51 Mn |
| Dec 31, 2024 | 327.03 Mn |
| Sep 30, 2024 | 312.64 Mn |
| Jun 30, 2024 | 300.48 Mn |
| Mar 31, 2024 | 289.06 Mn |
| Dec 31, 2023 | 278.29 Mn |
| Sep 30, 2023 | 263.55 Mn |
| Jun 30, 2023 | 246.66 Mn |
| Mar 31, 2023 | 218.80 Mn |
| Dec 31, 2022 | 183.14 Mn |
| Sep 30, 2022 | 119.72 Mn |
| Jun 30, 2022 | 122.18 Mn |
| Mar 31, 2022 | 124.45 Mn |
| Dec 31, 2021 | 136.43 Mn |
| Sep 30, 2021 | 135.74 Mn |
EchoStar Other 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=other-non-current-liabilities&ticker=ECHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();