RideNow (RDNW) Operating Expenses (2014 - 2026)
RideNow (RDNW) posted Operating Expenses of $65 million for Q2 2026, down 2.5% from $66.7 million a year earlier.
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Analysis
RideNow (RDNW) Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at RideNow was $260.2 million, up 0.9% year-over-year; for FY2025, it came in at $256.3 million, down 6.9% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 36.0% (FY2020 to FY2025).
- In prior years, RideNow's Operating Expenses was $275.4 million in FY2024 (-20.7%), $347.3 million in FY2023 (-2.0%), $354.5 million in FY2022 (+116.1%) and $164.08 million in FY2021 (+197.9%).
- Quarterly Operating Expenses has run from a low of $61.1 million in Q1 2025 to a high of $100.3 million in Q2 2023 over five years.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 537.3%; the weakest was Q2 2024, with a decline of 28.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | RideNow | 241.56 Mn | 85.26 Mn | 84.80 Mn | 65.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.00 Mn |
| Dec 31, 2025 | 64.10 Mn |
| Sep 30, 2025 | 64.40 Mn |
| Jun 30, 2025 | 66.70 Mn |
| Mar 31, 2025 | 61.10 Mn |
| Dec 31, 2024 | 64.20 Mn |
| Sep 30, 2024 | 65.90 Mn |
| Jun 30, 2024 | 71.40 Mn |
| Mar 31, 2024 | 73.90 Mn |
| Dec 31, 2023 | 75.70 Mn |
| Sep 30, 2023 | 85.00 Mn |
| Jun 30, 2023 | 100.30 Mn |
| Mar 31, 2023 | 86.30 Mn |
| Dec 31, 2022 | 90.07 Mn |
| Sep 30, 2022 | 93.82 Mn |
| Jun 30, 2022 | 96.23 Mn |
| Mar 31, 2022 | 78.08 Mn |
| Dec 31, 2021 | 71.06 Mn |
| Sep 30, 2021 | 62.20 Mn |
| Jun 30, 2021 | 18.11 Mn |
API Access
RideNow Operating 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=operating-expenses&ticker=RDNW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RDNW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();