Caseys General Stores (CASY) Long-Term Debt Repayments (2009 - 2026)
Caseys General Stores (CASY) recorded Long-Term Debt Repayments of $45.21 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 7.2% from $42.16 million a year earlier and up 241.3% from the prior quarter.
Caseys General Stores (CASY) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Caseys General Stores' Long-Term Debt Repayments came in at $97.94 million as of Jul 31, 2026, down 61.2% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $94.9 million, down 60.4% from FY2025.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -30.2% (FY2021 to FY2026).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $239.49 million in FY2025 (+346.3%), $53.66 million in FY2024 (+31.0%), $40.97 million in FY2023 (-78.3%) and $188.54 million in FY2022 (-67.0%).
- The fiscal Q1 2027 figure is the highest quarterly Long-Term Debt Repayments since fiscal Q4 2025.
- On a year-over-year basis, Long-Term Debt Repayments rose in four of the last seven quarters, with growth averaging 39.7%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 319.5% in fiscal Q2 2024, against a decline of 99.1% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $13.25 million (Q4 2026), $21.27 million (Q3 2026) and $18.21 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 944.30 Bn | 900.73 Bn | 49.13 Bn | 799.00 Mn |
| 2 | Costco Wholesale | 442.04 Bn | 365.32 Bn | 12.19 Bn | -57.00 Mn |
| 3 | Sysco | 39.13 Bn | 33.38 Bn | 4.13 Bn | 42.00 Mn |
| 4 | Kroger | 38.19 Bn | 24.34 Bn | 7.86 Bn | - |
| 5 | Dollar General | 29.40 Bn | 24.07 Bn | 3.68 Bn | 7.80 Mn |
| 6 | Caseys General Stores | 25.66 Bn | 23.65 Bn | 1.24 Bn | 45.21 Mn |
| 7 | Dollar Tree | 23.48 Bn | 20.11 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.05 Bn | 21.85 Bn | 1.92 Bn | 2.84 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.36 Bn | 1.68 Bn | 1.49 Bn |
| 10 | Performance Food | 14.93 Bn | 14.71 Bn | 2.17 Bn | 65.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 45.21 Mn |
| Apr 30, 2026 | 13.25 Mn |
| Jan 31, 2026 | 21.27 Mn |
| Oct 31, 2025 | 18.21 Mn |
| Jul 31, 2025 | 42.16 Mn |
| Apr 30, 2025 | 178.51 Mn |
| Jan 31, 2025 | 26.34 Mn |
| Oct 31, 2024 | 5.32 Mn |
| Jul 31, 2024 | 29.32 Mn |
| Apr 30, 2024 | 5.29 Mn |
| Jan 31, 2024 | 13.23 Mn |
| Oct 31, 2023 | 5.47 Mn |
| Jul 31, 2023 | 29.67 Mn |
| Apr 30, 2023 | 17.41 Mn |
| Jan 31, 2023 | 6.26 Mn |
| Oct 31, 2022 | 1.30 Mn |
| Jul 31, 2022 | 16.00 Mn |
| Apr 30, 2022 | 174.31 Mn |
| Jan 31, 2022 | 4.48 Mn |
| Oct 31, 2021 | 4.88 Mn |
Caseys General Stores Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();