Caseys General Stores (CASY) Interest Expenses (2009 - 2026)
Caseys General Stores (CASY) reported Interest Expenses of $22.06 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 17.8% from $26.85 million a year earlier but up 1.6% from the prior quarter.
Caseys General Stores (CASY) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Caseys General Stores' Interest Expenses came in at $91.84 million, down 5.1% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $96.63 million, up 15.1% from FY2025.
- Interest Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 15.7% (FY2021 to FY2026).
- By fiscal year, Interest Expenses came in at $83.95 million in FY2025 (+57.1%), $53.44 million in FY2024 (+3.1%), $51.82 million in FY2023 (-9.1%) and $56.97 million in FY2022 (+22.1%).
- Five-year quarterly Interest Expenses spans a low of $11.7 million in fiscal Q3 2023 and a high of $29.42 million in fiscal Q3 2025.
- Year over year, Interest Expenses has now declined in each of the last three quarters, with growth averaging 41.2% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was fiscal Q3 2025 (growth of 107.9%); the low point was fiscal Q4 2026 (a decline of 22.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $21.71 million (Q4 2026), $23.38 million (Q3 2026) and $24.69 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 137.00 Mn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 32.00 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 3.00 Mn |
| 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 | 22.06 Mn |
| 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 | 77.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 17.10 Mn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 101.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 22.06 Mn |
| Apr 30, 2026 | 21.71 Mn |
| Jan 31, 2026 | 23.38 Mn |
| Oct 31, 2025 | 24.69 Mn |
| Jul 31, 2025 | 26.85 Mn |
| Apr 30, 2025 | 27.92 Mn |
| Jan 31, 2025 | 29.42 Mn |
| Oct 31, 2024 | 12.55 Mn |
| Jul 31, 2024 | 14.07 Mn |
| Apr 30, 2024 | 14.49 Mn |
| Jan 31, 2024 | 14.15 Mn |
| Oct 31, 2023 | 12.31 Mn |
| Jul 31, 2023 | 12.50 Mn |
| Apr 30, 2023 | 12.80 Mn |
| Jan 31, 2023 | 11.70 Mn |
| Oct 31, 2022 | 13.50 Mn |
| Jul 31, 2022 | 13.82 Mn |
| Apr 30, 2022 | 15.29 Mn |
| Jan 31, 2022 | 14.43 Mn |
| Oct 31, 2021 | 13.52 Mn |
Caseys General Stores Interest 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=interest-expenses&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();