EchoStar (ECHO) Long-Term Debt Repayments (2010 - 2026)
EchoStar's Long-Term Debt Repayments came in at $6.39 billion for Q3 2026, compared with $180.43 million a year earlier.
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Analysis
EchoStar (ECHO) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, EchoStar reported Long-Term Debt Repayments of $8.56 billion, up 220.2% year-over-year; for FY2025, it was $1.04 billion, down 65.7% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 238.1% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $3.04 billion in FY2024 (+72.3%), $1.77 billion in FY2023 (-17.6%), $2.14 billion in FY2022 (-28.4%) and $2.99 billion in FY2021.
- The Q3 2026 figure represents the highest quarterly Long-Term Debt Repayments in data going back to Q4 2010.
- Year-over-year, Long-Term Debt Repayments increased in three of the last six quarters, with growth averaging 188.9%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2025 (growth of 634.4%), and the weakest in Q2 2022 (a decline of 99.9%).
- Business Quant data shows ECHO's Long-Term Debt Repayments at $10.57 million (Q2 2026), $1.79 billion (Q1 2026) and $361.35 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn | 3.30 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn | 1.70 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn | 5.28 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn | - |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | 3.06 Bn |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | -23.30 Mn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - | - |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn | 6.39 Bn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn | -5.22 Bn |
| 10 | Telefonica Brasil | 18.40 Bn | 12.42 Bn | 1.42 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.39 Bn |
| 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 |
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();