EchoStar (ECHO) Interest Expenses (2009 - 2023)
EchoStar's Interest Expenses was $12.65 million in Q3 2023, down 8.6% from $13.85 million a year earlier and down 4.5% from the prior quarter.
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Analysis
EchoStar (ECHO) Interest Expenses (2009 - 2023) Analysis & Trends
On a trailing twelve-month basis, EchoStar's Interest Expenses was $53.22 million through Sep 30, 2023, down 9.5% year-over-year; for FY2022, it came in at $57.17 million, down 40.1% from FY2021.
- Interest Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -20.9% (FY2017 to FY2022).
- In earlier years, Interest Expenses was $95.51 million in FY2021 (-35.4%), $147.93 million in FY2020 (-41.1%), $251.02 million in FY2019 (+14.5%) and $219.29 million in FY2018 (+18.9%).
- The Q3 2023 figure marks the lowest quarterly Interest Expenses since Q1 2011.
- Compared with a year earlier, Interest Expenses has declined for 15 straight quarters, with an average decline of 27.0% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q4 2018 (growth of 98.1%); the worst was Q4 2020 (a decline of 62.3%).
- Per Business Quant data, ECHO's Interest Expenses in the three quarters before Q3 2023 was $13.24 million (Q2 2023), $13.29 million (Q1 2023) and $14.05 million (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 193.94 Bn | 158.35 Bn | 27.03 Bn | 1.99 Bn |
| 2 | T-Mobile US | 178.90 Bn | 163.65 Bn | 14.76 Bn | - |
| 3 | At&T | 170.76 Bn | 118.71 Bn | 25.82 Bn | 1.88 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | -111.57 Mn |
| 5 | Comcast | 77.07 Bn | 41.32 Bn | - | 1.05 Bn |
| 6 | Chunghwa Telecom | 35.67 Bn | 31.52 Bn | 728.80 Mn | -3.33 Mn |
| 7 | EchoStar | 25.89 Bn | 17.02 Bn | 1.65 Bn | - |
| 8 | AST SpaceMobile | 23.74 Bn | 24.24 Bn | 7.95 Mn | - |
| 9 | Bce | 19.19 Bn | 17.52 Bn | - | 328.21 Mn |
| 10 | Telefonica Brasil | 18.02 Bn | 12.02 Bn | 1.42 Bn | 230.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 12.65 Mn |
| Jun 30, 2023 | 13.24 Mn |
| Mar 31, 2023 | 13.29 Mn |
| Dec 31, 2022 | 14.05 Mn |
| Sep 30, 2022 | 13.85 Mn |
| Jun 30, 2022 | 14.31 Mn |
| Mar 31, 2022 | 14.97 Mn |
| Dec 31, 2021 | 15.66 Mn |
| Sep 30, 2021 | 16.31 Mn |
| Jun 30, 2021 | 28.87 Mn |
| Mar 31, 2021 | 34.67 Mn |
| Dec 31, 2020 | 35.47 Mn |
| Sep 30, 2020 | 37.97 Mn |
| Jun 30, 2020 | 38.26 Mn |
| Mar 31, 2020 | 36.23 Mn |
| Dec 31, 2019 | 94.20 Mn |
| Sep 30, 2019 | 49.87 Mn |
| Jun 30, 2019 | 53.75 Mn |
| Mar 31, 2019 | 53.20 Mn |
| Dec 31, 2018 | 55.25 Mn |
API Access
EchoStar Interest Expenses 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=interest-expenses&ticker=ECHO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();