Ryder System (R) Inventory (2009 - 2023)
Ryder System's Inventory came in at $75 million for Q3 2023, down 4.5% from $78.52 million a year earlier but up 1.4% from the prior quarter.
Analysis
Ryder System (R) Inventory (2009 - 2023) Analysis & Trends
At the end of FY2022, Ryder System's Inventory was $78 million, up 13.0% from FY2021.
- Inventory carries a five-year compound annual growth rate of 1.2% (FY2017 to FY2022).
- Going back by year, Inventory was $69 million in FY2021 (+12.8%), $61.19 million in FY2020 (-24.3%), $80.82 million in FY2019 (+2.0%) and $79.23 million in FY2018 (+7.7%).
- The five-year range for quarterly Inventory is $60.59 million (Q3 2020) to $83.23 million (Q3 2019).
- Year-over-year, Inventory has declined for three consecutive quarters, with growth averaging 10.3% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q2 2022 (growth of 30.9%), and the weakest in Q3 2020 (a decline of 27.2%).
- Business Quant data shows R's Inventory at $74 million (Q2 2023), $74 million (Q1 2023) and $78 million (Q4 2022) in the three quarters before Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.11 Bn | 168.36 Bn | - | 985.00 Mn |
| 2 | United Parcel Service | 94.53 Bn | 71.35 Bn | - | - |
| 3 | Csx | 93.72 Bn | 88.94 Bn | - | 401.00 Mn |
| 4 | Canadian Pacific Kansas City | 83.01 Bn | 82.04 Bn | - | 406.59 Mn |
| 5 | Fedex | 75.20 Bn | 41.40 Bn | - | - |
| 6 | Norfolk Southern | 73.60 Bn | 68.07 Bn | - | 353.00 Mn |
| 7 | Delta Air Lines | 56.18 Bn | 38.36 Bn | - | 2.64 Bn |
| 8 | United Airlines Holdings | 35.99 Bn | -21.71 Bn | - | 1.95 Bn |
| 9 | Old Dominion Freight Line | 35.33 Bn | 34.59 Bn | - | - |
| 10 | Ryder System | 10.30 Bn | 9.50 Bn | 685.00 Mn | - |
Historic Data
Download Data
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 |
API Access
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();