RideNow (RDNW) Total Non-Current Liabilities (2013 - 2026)
RideNow (RDNW) posted Total Non-Current Liabilities of $391.1 million for Q2 2026, down 2.2% from $400.1 million a year earlier.
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Analysis
RideNow (RDNW) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, RideNow's Total Non-Current Liabilities came in at $389.6 million, down 1.1% from FY2024.
- Annual Total Non-Current Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 60.2% (FY2020 to FY2025).
- In prior years, RideNow's Total Non-Current Liabilities was $394.1 million in FY2024 (-7.4%), $425.7 million in FY2023 (-16.4%), $509.5 million in FY2022 (+22.2%) and $417.03 million in FY2021.
- Quarterly Total Non-Current Liabilities has run from a low of $166.99 million in Q3 2021 to a high of $537.93 million in Q2 2022 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in two of the last seven quarters, with an average decline of 4.6%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2022, with growth of 991.3%; the weakest was Q2 2024, with a decline of 21.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 22.81 Bn |
| 10 | RideNow | 242.73 Mn | 86.43 Mn | 84.80 Mn | 391.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 391.10 Mn |
| Dec 31, 2025 | 389.60 Mn |
| Sep 30, 2025 | 386.70 Mn |
| Jun 30, 2025 | 400.10 Mn |
| Mar 31, 2025 | 396.40 Mn |
| Dec 31, 2024 | 394.10 Mn |
| Sep 30, 2024 | 395.30 Mn |
| Jun 30, 2024 | 394.80 Mn |
| Mar 31, 2024 | 394.50 Mn |
| Dec 31, 2023 | 425.70 Mn |
| Sep 30, 2023 | 499.55 Mn |
| Jun 30, 2023 | 504.26 Mn |
| Mar 31, 2023 | 494.28 Mn |
| Dec 31, 2022 | 509.50 Mn |
| Sep 30, 2022 | 534.44 Mn |
| Jun 30, 2022 | 537.93 Mn |
| Mar 31, 2022 | 520.93 Mn |
| Dec 31, 2021 | 417.03 Mn |
| Sep 30, 2021 | 166.99 Mn |
| Jun 30, 2021 | 50.02 Mn |
API Access
RideNow Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=RDNW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=RDNW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();