Caseys General Stores (CASY) Other Operating Expenses (2009 - 2026)
Caseys General Stores (CASY) posted Other Operating Expenses of $754.11 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 8.0% from $698.18 million a year earlier and up 3.3% from the prior quarter.
Caseys General Stores (CASY) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Other Operating Expenses at Caseys General Stores was $2.89 billion, up 9.6% year-over-year; for FY2026 (ended Apr 30, 2026), it was $2.84 billion, up 11.2% from FY2025.
- Annual Other Operating Expenses has increased for 17 consecutive fiscal years, with a five-year compound annual growth rate of 11.6% (FY2021 to FY2026).
- In prior fiscal years, Caseys General Stores' Other Operating Expenses was $2.55 billion in FY2025 (+11.5%), $2.29 billion in FY2024 (+8.0%), $2.12 billion in FY2023 (+8.1%) and $1.96 billion in FY2022 (+19.8%).
- The fiscal Q1 2027 figure stands as the highest quarterly Other Operating Expenses in data going back to fiscal Q1 2010.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last 65 quarters, with growth averaging 11.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 3.2% (fiscal Q1 2024) to 22.0% (fiscal Q2 2022).
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $730.02 million (Q4 2026), $697.64 million (Q3 2026) and $711.59 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 754.11 Mn |
| Apr 30, 2026 | 730.02 Mn |
| Jan 31, 2026 | 697.64 Mn |
| Oct 31, 2025 | 711.59 Mn |
| Jul 31, 2025 | 698.18 Mn |
| Apr 30, 2025 | 663.00 Mn |
| Jan 31, 2025 | 670.20 Mn |
| Oct 31, 2024 | 609.68 Mn |
| Jul 31, 2024 | 609.47 Mn |
| Apr 30, 2024 | 579.05 Mn |
| Jan 31, 2024 | 568.91 Mn |
| Oct 31, 2023 | 579.70 Mn |
| Jul 31, 2023 | 560.86 Mn |
| Apr 30, 2023 | 521.73 Mn |
| Jan 31, 2023 | 515.74 Mn |
| Oct 31, 2022 | 539.21 Mn |
| Jul 31, 2022 | 543.27 Mn |
| Apr 30, 2022 | 490.90 Mn |
| Jan 31, 2022 | 491.00 Mn |
| Oct 31, 2021 | 500.64 Mn |
Caseys General Stores Other Operating 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=other-operating-expenses&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();