Caseys General Stores (CASY) Change in Accured Expenses (2009 - 2026)
Caseys General Stores' Change in Accured Expenses was -$50.26 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$25.73 million a year earlier.
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Analysis
Caseys General Stores (CASY) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Caseys General Stores' Change in Accured Expenses was $11.08 million through Jul 31, 2026, down 67.9% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $35.61 million, up 65.4% from FY2025.
- Change in Accured Expenses shows a five-year compound annual growth rate of -11.5% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accured Expenses was $21.53 million in FY2025 (+49.6%), $14.39 million in FY2024 (-29.1%), $20.29 million in FY2023 (-13.9%) and $23.57 million in FY2022 (-64.0%).
- The fiscal Q1 2027 figure marks the lowest quarterly Change in Accured Expenses in data going back to fiscal Q1 2010.
- Compared with a year earlier, Change in Accured Expenses was higher in four of the last five quarters, with growth averaging 68.3%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q3 2025 (growth of 205.5%); the worst was fiscal Q2 2022 (a decline of 66.4%).
- Per Business Quant data, CASY's Change in Accured Expenses in the three fiscal quarters before Q1 2027 was $28.1 million (Q4 2026), $27.29 million (Q3 2026) and $5.95 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 953.29 Bn | 909.72 Bn | 49.13 Bn | 1.90 Bn |
| 2 | Costco Wholesale | 445.64 Bn | 368.92 Bn | 12.19 Bn | - |
| 3 | Kroger | 40.41 Bn | 26.56 Bn | 7.86 Bn | - |
| 4 | Sysco | 39.10 Bn | 33.35 Bn | 4.13 Bn | 114.00 Mn |
| 5 | Dollar General | 29.08 Bn | 23.76 Bn | 3.68 Bn | 188.24 Mn |
| 6 | Caseys General Stores | 25.85 Bn | 23.85 Bn | 1.24 Bn | -50.26 Mn |
| 7 | Dollar Tree | 23.80 Bn | 20.42 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.16 Bn | 21.96 Bn | 1.92 Bn | 5.00 Mn |
| 9 | Tractor Supply | 17.62 Bn | 16.78 Bn | 1.68 Bn | 272.58 Mn |
| 10 | Performance Food | 14.77 Bn | 14.55 Bn | 2.17 Bn | 181.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -50.26 Mn |
| Apr 30, 2026 | 28.10 Mn |
| Jan 31, 2026 | 27.29 Mn |
| Oct 31, 2025 | 5.95 Mn |
| Jul 31, 2025 | -25.73 Mn |
| Apr 30, 2025 | 27.14 Mn |
| Jan 31, 2025 | 30.61 Mn |
| Oct 31, 2024 | 2.52 Mn |
| Jul 31, 2024 | -38.75 Mn |
| Apr 30, 2024 | 25.29 Mn |
| Jan 31, 2024 | 10.02 Mn |
| Oct 31, 2023 | -775,000.00 |
| Jul 31, 2023 | -20.15 Mn |
| Apr 30, 2023 | -577,000.00 |
| Jan 31, 2023 | 14.65 Mn |
| Oct 31, 2022 | 14.09 Mn |
| Jul 31, 2022 | -7.87 Mn |
| Apr 30, 2022 | -1.97 Mn |
| Jan 31, 2022 | 31.68 Mn |
| Oct 31, 2021 | 5.90 Mn |
API Access
Caseys General Stores Change in Accured Expenses 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-accured-expenses&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();