RideNow (RDNW) EPS (Diluted) (2020 - 2026)
RideNow (RDNW) posted EPS (Diluted) of $0.17 for Q2 2026, compared with -$0.85 a year earlier.
Analysis
RideNow (RDNW) EPS (Diluted) (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at RideNow was -$0.93; for FY2025, it came in at -$1.38.
- In prior years, RideNow's EPS (Diluted) was -$2.22 in FY2024, -$12.15 in FY2023, -$16.48 in FY2022 and -$1.41 in FY2021.
- The Q2 2026 figure stands as the highest quarterly EPS (Diluted) since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 5.75 |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 4.79 |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 1.36 |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.28 |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 2.66 |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 4.11 |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 0.86 |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 0.42 |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 38.07 |
| 10 | RideNow | 241.56 Mn | 85.26 Mn | 84.80 Mn | 0.17 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.17 |
| Dec 31, 2025 | -0.17 |
| Sep 30, 2025 | -0.11 |
| Jun 30, 2025 | -0.85 |
| Mar 31, 2025 | -0.26 |
| Dec 31, 2024 | -1.59 |
| Sep 30, 2024 | -0.32 |
| Jun 30, 2024 | -0.02 |
| Mar 31, 2024 | -0.29 |
| Dec 31, 2023 | -9.50 |
| Sep 30, 2023 | -0.99 |
| Jun 30, 2023 | -0.83 |
| Mar 31, 2023 | -1.04 |
| Dec 31, 2022 | -18.13 |
| Sep 30, 2022 | 0.19 |
| Jun 30, 2022 | 0.87 |
| Mar 31, 2022 | 0.58 |
| Dec 31, 2021 | 2.99 |
| Sep 30, 2021 | -3.25 |
| Jun 30, 2021 | -1.05 |
API Access
RideNow EPS (Diluted) 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=eps-diluted&ticker=RDNW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=RDNW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();