RideNow (RDNW) Depreciation and Depletion (2019 - 2021)
RideNow's Depreciation and Depletion came in at $4.18 million for Q4 2021, up 627.5% from $575,000 a year earlier and up 507.1% from the prior quarter.
Analysis
RideNow (RDNW) Depreciation and Depletion (2019 - 2021) Analysis & Trends
For FY2021, RideNow's Depreciation and Depletion was $6.1 million, up 184.8% from FY2020.
- Depreciation and Depletion has increased in each of the last five years, with a five-year compound annual growth rate of 137.7% (FY2016 to FY2021).
- Going back by year, Depreciation and Depletion was $2.14 million in FY2020 (+20.0%), $1.79 million in FY2019 (+81.5%), $984,006 in FY2018 (+47.2%) and $668,467 in FY2017 (+731.2%).
- The Q4 2021 figure represents the highest quarterly Depreciation and Depletion in data going back to Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.87 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 339.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | - |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | - |
| 10 | RideNow | 209.61 Mn | 53.31 Mn | 84.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 4.18 Mn |
| Sep 30, 2021 | 689,000.00 |
| Mar 31, 2021 | 599,240.00 |
| Dec 31, 2020 | 575,000.00 |
| Sep 30, 2020 | 536,000.00 |
| Jun 30, 2020 | 508,322.00 |
| Mar 31, 2020 | 522,995.00 |
| Dec 31, 2019 | 503,092.00 |
| Sep 30, 2019 | 473,671.00 |
| Jun 30, 2019 | 427,438.00 |
API Access
RideNow Depreciation and Depletion 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=depreciation-and-depletion&ticker=RDNW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=RDNW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();