Caseys General Stores (CASY) Total Liabilities (2010 - 2026)
Caseys General Stores (CASY) posted Total Liabilities of $5.03 billion for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 6.3% from $4.73 billion a year earlier and up 0.9% from the prior quarter.
Caseys General Stores (CASY) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Caseys General Stores' Total Liabilities came in at $4.98 billion, up 6.1% from FY2025.
- Annual Total Liabilities has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 14.5% (FY2021 to FY2026).
- In prior fiscal years, Caseys General Stores' Total Liabilities was $4.7 billion in FY2025 (+41.0%), $3.33 billion in FY2024 (+1.5%), $3.28 billion in FY2023 (+0.5%) and $3.26 billion in FY2022 (+29.2%).
- The fiscal Q1 2027 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q4 2010.
- On a year-over-year basis, Total Liabilities increased in seven of the last eight quarters, with growth averaging 22.7%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2025, with growth of 47.3%; the weakest was fiscal Q3 2026, with a decline of 1.5%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $4.98 billion (Q4 2026), $4.73 billion (Q3 2026) and $4.78 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 944.30 Bn | 900.73 Bn | 49.13 Bn | 189.41 Bn |
| 2 | Costco Wholesale | 442.04 Bn | 365.32 Bn | 12.19 Bn | 53.24 Bn |
| 3 | Sysco | 39.13 Bn | 33.38 Bn | 4.13 Bn | 25.73 Bn |
| 4 | Kroger | 38.19 Bn | 24.34 Bn | 7.86 Bn | 43.65 Bn |
| 5 | Dollar General | 29.40 Bn | 24.07 Bn | 3.68 Bn | 22.88 Bn |
| 6 | Caseys General Stores | 25.66 Bn | 23.65 Bn | 1.24 Bn | 5.03 Bn |
| 7 | Dollar Tree | 23.48 Bn | 20.11 Bn | 2.10 Bn | 10.60 Bn |
| 8 | US Foods Holding | 22.05 Bn | 21.85 Bn | 1.92 Bn | 10.06 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.36 Bn | 1.68 Bn | 9.53 Bn |
| 10 | Performance Food | 14.93 Bn | 14.71 Bn | 2.17 Bn | 13.95 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.03 Bn |
| Apr 30, 2026 | 4.98 Bn |
| Jan 31, 2026 | 4.73 Bn |
| Oct 31, 2025 | 4.78 Bn |
| Jul 31, 2025 | 4.73 Bn |
| Apr 30, 2025 | 4.70 Bn |
| Jan 31, 2025 | 4.80 Bn |
| Oct 31, 2024 | 4.39 Bn |
| Jul 31, 2024 | 3.33 Bn |
| Apr 30, 2024 | 3.33 Bn |
| Jan 31, 2024 | 3.26 Bn |
| Oct 31, 2023 | 3.33 Bn |
| Jul 31, 2023 | 3.29 Bn |
| Apr 30, 2023 | 3.28 Bn |
| Jan 31, 2023 | 3.23 Bn |
| Oct 31, 2022 | 3.28 Bn |
| Jul 31, 2022 | 3.30 Bn |
| Apr 30, 2022 | 3.26 Bn |
| Jan 31, 2022 | 3.22 Bn |
| Oct 31, 2021 | 3.13 Bn |
Caseys General Stores Total Liabilities 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=total-liabilities&ticker=CASY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();