Caseys General Stores (CASY) Inventory (2010 - 2026)
Caseys General Stores (CASY) reported Inventory of $557.97 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 16.5% from $478.88 million a year earlier and up 0.1% from the prior quarter.
Powered by 
Analysis
Caseys General Stores (CASY) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Caseys General Stores posted Inventory of $557.15 million, up 16.1% from FY2025.
- Inventory has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 14.2% (FY2021 to FY2026).
- By fiscal year, Inventory came in at $480.03 million in FY2025 (+12.0%), $428.72 million in FY2024 (+14.0%), $376.09 million in FY2023 (-5.1%) and $396.2 million in FY2022 (+38.2%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Inventory in data going back to fiscal Q4 2010.
- Year over year, Inventory gained in seven of the last eight quarters, with growth averaging 8.2%.
- The high point for year-over-year Inventory in five years was fiscal Q2 2022 (growth of 40.2%); the low point was fiscal Q3 2026 (a decline of 8.6%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $557.15 million (Q4 2026), $440.83 million (Q3 2026) and $452.06 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 61.60 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 19.42 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | - |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | - |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 6.55 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 557.97 Mn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 2.45 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 1.70 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 3.52 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 4.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 557.97 Mn |
| Apr 30, 2026 | 557.15 Mn |
| Jan 31, 2026 | 440.83 Mn |
| Oct 31, 2025 | 452.06 Mn |
| Jul 31, 2025 | 478.88 Mn |
| Apr 30, 2025 | 480.03 Mn |
| Jan 31, 2025 | 482.10 Mn |
| Oct 31, 2024 | 432.27 Mn |
| Jul 31, 2024 | 452.02 Mn |
| Apr 30, 2024 | 428.72 Mn |
| Jan 31, 2024 | 414.72 Mn |
| Oct 31, 2023 | 418.90 Mn |
| Jul 31, 2023 | 424.73 Mn |
| Apr 30, 2023 | 376.09 Mn |
| Jan 31, 2023 | 387.14 Mn |
| Oct 31, 2022 | 393.32 Mn |
| Jul 31, 2022 | 399.14 Mn |
| Apr 30, 2022 | 396.20 Mn |
| Jan 31, 2022 | 351.38 Mn |
| Oct 31, 2021 | 350.18 Mn |
API Access
Caseys General Stores 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=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "CASY", "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=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();