Caseys General Stores (CASY) Operating Expenses (2009 - 2026)
Caseys General Stores (CASY) posted 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) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Expenses at Caseys General Stores was $2.89 billion, up 9.6% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $2.84 billion, up 11.2% from FY2025.
- Annual 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' 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 Operating Expenses in data going back to fiscal Q1 2010.
- On a year-over-year basis, Operating Expenses has increased in each of the last 65 quarters, with growth averaging 11.4% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 3.2% (fiscal Q1 2024) and 22.0% (fiscal Q2 2022) over the last five years.
- According to Business Quant data, 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) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 3.15 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 754.11 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 1.85 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 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=operating-expenses&ticker=CASY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();