Caseys General Stores (CASY) Change in Inventory (2009 - 2026)
Caseys General Stores (CASY) posted Change in Inventory of $577000.0 for Q3 2026, down 99.5% quarter-over-quarter from $115.0 million in Q2 2026, and down 91.6% YoY from $6.9 million in Q3 2025.
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Analysis
Caseys General Stores (CASY) Change in Inventory (2009 - 2026) Analysis & Trends
Caseys General Stores (CASY) has 18 years of Change in Inventory data on file, last reported at $577000.0 in Q3 2026.
- For the quarter ending Q3 2026, Change in Inventory fell 91.6% year-over-year to $577000.0; the trailing twelve-month figure through Jul 2026 stood at $83.8 million (up 879.18% YoY), and the FY2026 full-year result was $90.1 million, up 1061.47% from the prior year.
- Change in Inventory was $577000.0 for Q3 2026 at Caseys General Stores, down from $115.0 million in the prior quarter.
- In the past five years, Change in Inventory ranged from a high of $115.0 million in Q2 2026 to a low of -$22.3 million in Q4 2025.
- A 5-year average of $11.0 million and a median of -$373000.0 in 2025 frame the typical range for Change in Inventory.
- The largest YoY upside for Change in Inventory was 30936.46% in 2026 against a maximum downside of 1501.85% in 2026.
- Caseys General Stores' Change in Inventory stood at $11.0 million in 2022, then tumbled by 173.08% to -$8.0 million in 2023, then slumped by 107.1% to -$16.7 million in 2024, then plunged by 33.83% to -$22.3 million in 2025, then soared by 102.59% to $577000.0 in 2026.
- Per Business Quant data, the three most recent Change in Inventory figures were $577000.0 in Q3 2026, $115.0 million in Q2 2026, and -$9.5 million in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caseys General Stores | 22.08 Bn | 21.56 Bn | 1.24 Bn | 577,000.00 |
| 2 | Murphy USA | 9.67 Bn | 9.49 Bn | 746.50 Mn | - |
| 3 | Arko | 473.42 Mn | 281.56 Mn | - | 2.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 577,000.00 |
| Apr 30, 2026 | 115.02 Mn |
| Jan 31, 2026 | -9.52 Mn |
| Oct 31, 2025 | -22.29 Mn |
| Jul 31, 2025 | 6.87 Mn |
| Apr 30, 2025 | -373,000.00 |
| Jan 31, 2025 | -594,000.00 |
| Oct 31, 2024 | -16.66 Mn |
| Jul 31, 2024 | 25.38 Mn |
| Apr 30, 2024 | 18.02 Mn |
| Jan 31, 2024 | -10.95 Mn |
| Oct 31, 2023 | -8.04 Mn |
| Jul 31, 2023 | 52.76 Mn |
| Apr 30, 2023 | -10.29 Mn |
| Jan 31, 2023 | -3.47 Mn |
| Oct 31, 2022 | 11.01 Mn |
| Jul 31, 2022 | 2.90 Mn |
| Apr 30, 2022 | 64.72 Mn |
| Jan 31, 2022 | -5.95 Mn |
| Oct 31, 2021 | 12.91 Mn |
API Access
Caseys General Stores Change in 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=change-in-inventory&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();