RideNow (RDNW) Non Operating Interest Expenses (2014 - 2024)
RideNow's Non Operating Interest Expenses came in at $16.1 million for Q1 2024, down 8.5% from $17.6 million a year earlier and down 24.9% from the prior quarter.
RideNow (RDNW) Non Operating Interest Expenses (2014 - 2024) Analysis & Trends
Over the trailing twelve months to Mar 31, 2024, RideNow reported Non Operating Interest Expenses of $75.7 million, up 28.2% year-over-year; for FY2023, it came in at $77.2 million, up 48.2% from FY2022.
- Non Operating Interest Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 112.5% (FY2018 to FY2023).
- Going back by year, Non Operating Interest Expenses was $52.1 million in FY2022 (+217.6%), $16.41 million in FY2021 (+154.3%), $6.45 million in FY2020 and -$7.19 million in FY2019.
- The Q1 2024 figure represents the lowest quarterly Non Operating Interest Expenses since Q3 2022.
- Year-over-year, Non Operating Interest Expenses increased in seven of the last eight quarters, with growth averaging 126.8%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2019 (growth of 688.4%), and the weakest in Q1 2021 (a decline of 27.4%).
- Business Quant data shows RDNW's Non Operating Interest Expenses at $21.44 million (Q4 2023), $19.83 million (Q3 2023) and $18.33 million (Q2 2023) in the three quarters before Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | 1.69 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 69.87 Mn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | - |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | 98.00 Mn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 98.00 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | - |
| 10 | RideNow | 211.73 Mn | 69.93 Mn | 84.80 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 16.10 Mn |
| Dec 31, 2023 | 21.44 Mn |
| Sep 30, 2023 | 19.83 Mn |
| Jun 30, 2023 | 18.33 Mn |
| Mar 31, 2023 | 17.60 Mn |
| Dec 31, 2022 | 16.48 Mn |
| Sep 30, 2022 | 12.21 Mn |
| Jun 30, 2022 | 12.75 Mn |
| Mar 31, 2022 | 11.18 Mn |
| Dec 31, 2021 | 8.30 Mn |
| Sep 30, 2021 | 4.58 Mn |
| Jun 30, 2021 | 1.92 Mn |
| Mar 31, 2021 | 1.61 Mn |
| Dec 31, 2020 | 1.26 Mn |
| Sep 30, 2020 | 1.49 Mn |
| Jun 30, 2020 | 1.48 Mn |
| Mar 31, 2020 | 2.22 Mn |
| Dec 31, 2019 | -12.54 Mn |
| Sep 30, 2019 | 2.03 Mn |
| Jun 30, 2019 | 1.87 Mn |
RideNow 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=RDNW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "RDNW", "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=RDNW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();