Ryder System (R) Inventory Average (2010 - 2023)
Ryder System (R) posted Inventory Average of $74.5 million for Q3 2023, up 0.68% on a QoQ basis from $74.0 million in Q2 2023, and down 7.23% year-over-year from $80.3 million in Q3 2022.
Ryder System (R) Inventory Average (2010 - 2023) Analysis & Trends
Ryder System has reported Inventory Average for 14 years, with the latest figure at $74.5 million in Q3 2023.
- On a quarterly basis, Inventory Average fell 7.23% year-over-year to $74.5 million in Q3 2023; TTM through Sep 2023 was $74.5 million, a 7.23% decrease from a year earlier, with the FY2022 full-year figure at $73.5 million, up 12.91% from the prior year.
- Inventory Average was $74.5 million for Q3 2023 at Ryder System, up from $74.0 million in the prior quarter.
- The five-year high for Inventory Average was $82.1 million in Q3 2019, with the low at $60.9 million in Q4 2020.
- Average Inventory Average over 5 years is $72.2 million, with a median of $74.0 million recorded in 2023.
- The sharpest annual moves came in 2020 and 2022: Inventory Average decreased 25.77% in 2020, then climbed 27.21% in 2022.
- Over 5 years, Inventory Average stood at $82.0 million in 2019, then fell by 25.77% to $60.9 million in 2020, then gained by 11.54% to $67.9 million in 2021, then grew by 15.23% to $78.3 million in 2022, then declined by 4.8% to $74.5 million in 2023.
- The last three Inventory Average figures came in at $74.5 million (Q3 2023), $74.0 million (Q2 2023), and $76.0 million (Q1 2023), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory Avg. (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | 45.75 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 | 128.50 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 | 21.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 74.50 Mn |
| Jun 30, 2023 | 74.00 Mn |
| Mar 31, 2023 | 76.00 Mn |
| Dec 31, 2022 | 78.26 Mn |
| Sep 30, 2022 | 80.31 Mn |
| Jun 30, 2022 | 78.46 Mn |
| Mar 31, 2022 | 71.91 Mn |
| Dec 31, 2021 | 67.92 Mn |
| Sep 30, 2021 | 64.77 Mn |
| Jun 30, 2021 | 61.68 Mn |
| Mar 31, 2021 | 60.92 Mn |
| Dec 31, 2020 | 60.89 Mn |
| Sep 30, 2020 | 61.43 Mn |
| Jun 30, 2020 | 63.85 Mn |
| Mar 31, 2020 | 73.12 Mn |
| Dec 31, 2019 | 82.02 Mn |
| Sep 30, 2019 | 82.09 Mn |
| Jun 30, 2019 | 80.52 Mn |
| Mar 31, 2019 | 79.66 Mn |
| Dec 31, 2018 | 78.67 Mn |
Ryder System Inventory Average 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-average&ticker=R&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory-average", "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-average&ticker=R&period=max&api_key=YOUR_API_KEY");
const data = await res.json();