Ryder System (R) Inventory (2009 - 2023)
Ryder System (R) posted Inventory of $75.0 million for Q3 2023, up 1.35% on a QoQ basis from $74.0 million in Q2 2023, and down 4.48% year-over-year from $78.5 million in Q3 2022.
Ryder System (R) Inventory (2009 - 2023) Analysis & Trends
Ryder System has reported Inventory for 15 years, with the latest figure at $75.0 million in Q3 2023.
- On a quarterly basis, Inventory fell 4.48% year-over-year to $75.0 million in Q3 2023; TTM through Sep 2023 was $75.0 million, a 4.48% decrease from a year earlier, with the FY2022 full-year figure at $78.0 million, up 13.04% from the prior year.
- Inventory was $75.0 million for Q3 2023 at Ryder System, up from $74.0 million in the prior quarter.
- The five-year high for Inventory was $83.2 million in Q3 2019, with the low at $60.6 million in Q3 2020.
- Average Inventory over 5 years is $72.1 million, with a median of $74.0 million recorded in 2023.
- The sharpest annual moves came in 2020 and 2022: Inventory declined 27.2% in 2020, then surged 30.92% in 2022.
- Over 5 years, Inventory stood at $80.8 million in 2019, then fell by 24.29% to $61.2 million in 2020, then increased by 12.76% to $69.0 million in 2021, then rose by 13.04% to $78.0 million in 2022, then dropped by 3.85% to $75.0 million in 2023.
- The last three Inventory figures came in at $75.0 million (Q3 2023), $74.0 million (Q2 2023), and $74.0 million (Q1 2023), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | 49.63 Mn |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn | - |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn | - |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn | 137.90 Mn |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn | - |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn | - |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn | - |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn | - |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn | - |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn | 21.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 75.00 Mn |
| Jun 30, 2023 | 74.00 Mn |
| Mar 31, 2023 | 74.00 Mn |
| Dec 31, 2022 | 78.00 Mn |
| Sep 30, 2022 | 78.52 Mn |
| Jun 30, 2022 | 82.10 Mn |
| Mar 31, 2022 | 74.83 Mn |
| Dec 31, 2021 | 69.00 Mn |
| Sep 30, 2021 | 66.83 Mn |
| Jun 30, 2021 | 62.71 Mn |
| Mar 31, 2021 | 60.65 Mn |
| Dec 31, 2020 | 61.19 Mn |
| Sep 30, 2020 | 60.59 Mn |
| Jun 30, 2020 | 62.28 Mn |
| Mar 31, 2020 | 65.42 Mn |
| Dec 31, 2019 | 80.82 Mn |
| Sep 30, 2019 | 83.23 Mn |
| Jun 30, 2019 | 80.95 Mn |
| Mar 31, 2019 | 80.08 Mn |
| Dec 31, 2018 | 79.23 Mn |
Ryder System Inventory 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=inventory&ticker=R&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "R", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=R&period=max&api_key=YOUR_API_KEY");
const data = await res.json();