EchoStar (ECHO) Long-Term Debt Repayments (2010 - 2026)
EchoStar's Long-Term Debt Repayments came in at $179.69 million for Q4 2023, compared with $566,000 a year earlier.
Powered by 
Analysis
EchoStar (ECHO) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For FY2023, EchoStar's Long-Term Debt Repayments was $182.83 million.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 21.1% (FY2018 to FY2023).
- Going back by year, Long-Term Debt Repayments was $2.99 million in FY2022 (-99.7%), $901.82 million in FY2021, $1.55 million in FY2020 (-99.8%) and $920.92 million in FY2019.
- The Q4 2023 figure represents the highest quarterly Long-Term Debt Repayments since Q2 2021.
- Year-over-year, Long-Term Debt Repayments increased in three of the last five quarters, with an average decline of 20.5%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q1 2019 (growth of 681.2%), and the weakest in Q2 2020 (a decline of 100.0%).
- Business Quant data shows ECHO's Long-Term Debt Repayments at $684,000 (Q3 2023), $626,000 (Q2 2023) and $1.83 million (Q1 2023) in the three quarters before Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn | 17.25 Bn |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn | 1.70 Bn |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn | 582.00 Mn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn | - |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - | 4.16 Bn |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - | - |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn | -23.30 Mn |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn | 10.57 Mn |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn | - |
| 10 | Bce | 18.89 Bn | 17.02 Bn | 3.38 Bn | 2.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.57 Mn |
| Mar 31, 2026 | 1.79 Bn |
| Dec 31, 2025 | 361.35 Mn |
| Sep 30, 2025 | 180.43 Mn |
| Jun 30, 2025 | 188.27 Mn |
| Mar 31, 2025 | 314.05 Mn |
| Dec 31, 2024 | 1.99 Bn |
| Sep 30, 2024 | 48.44 Mn |
| Jun 30, 2024 | 25.64 Mn |
| Mar 31, 2024 | 978.29 Mn |
| Dec 31, 2023 | 32.43 Mn |
| Sep 30, 2023 | 97.32 Mn |
| Jun 30, 2023 | 165.26 Mn |
| Mar 31, 2023 | 1.47 Bn |
| Dec 31, 2022 | 2.14 Bn |
| Sep 30, 2022 | 514,000.00 |
| Jun 30, 2022 | 493,000.00 |
| Mar 31, 2022 | 1.53 Mn |
| Dec 31, 2021 | 2.09 Bn |
| Sep 30, 2021 | 471,000.00 |
API Access
EchoStar Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ECHO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();