EchoStar (ECHO) Non Operating Interest Expenses (2009 - 2023)
EchoStar (ECHO) recorded Non Operating Interest Expenses of $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) Non Operating Interest Expenses (2009 - 2023) Analysis & Trends
On a TTM basis, EchoStar's Non Operating Interest Expenses came in at $53.22 million as of Sep 30, 2023, down 9.5% year-over-year; for FY2022, it was $57.17 million, down 40.1% from FY2021.
- Annual Non Operating Interest Expenses has declined for three straight years, with a five-year compound annual growth rate of -20.9% (FY2017 to FY2022).
- Across earlier years, Non Operating Interest Expenses came in at $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 is the lowest quarterly Non Operating Interest Expenses since Q1 2011.
- On a year-over-year basis, Non Operating Interest Expenses has declined for 15 consecutive quarters, with an average decline of 27.0% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 98.1% in Q4 2018, against a decline of 62.3% in Q4 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $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) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn | 1.99 Bn |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn | - |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn | 1.88 Bn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn | -111.57 Mn |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - | 1.05 Bn |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - | - |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn | -3.33 Mn |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn | - |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn | -141.00 Mn |
| 10 | Bce | 18.89 Bn | 17.02 Bn | 3.38 Bn | 339.05 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 Non Operating 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=non-operating-interest-expenses&ticker=ECHO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();