Caseys General Stores (CASY) Payables (2010 - 2026)
Caseys General Stores' Payables came in at $853.66 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 26.7% from $673.94 million a year earlier and up 3.6% from the prior quarter.
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Analysis
Caseys General Stores (CASY) Payables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Caseys General Stores' Payables was $823.8 million, up 32.8% from FY2025.
- Payables has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 18.3% (FY2021 to FY2026).
- Going back by fiscal year, Payables was $620.45 million in FY2025 (+8.9%), $569.53 million in FY2024 (+1.6%), $560.55 million in FY2023 (-4.8%) and $588.78 million in FY2022 (+65.6%).
- The fiscal Q1 2027 figure represents the highest quarterly Payables in data going back to fiscal Q4 2010.
- Year-over-year, Payables has increased for seven consecutive quarters, with growth averaging 13.5% over the last eight quarters.
- The fastest year-over-year change in Payables over five years came in fiscal Q4 2022 (growth of 65.6%), and the weakest in fiscal Q1 2024 (a decline of 7.8%).
- Business Quant data shows CASY's Payables at $823.8 million (Q4 2026), $603.35 million (Q3 2026) and $666.09 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 78.75 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 22.36 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 6.64 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 10.78 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 4.35 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 853.66 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 1.63 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 2.96 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 1.76 Bn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 3.69 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 853.66 Mn |
| Apr 30, 2026 | 823.80 Mn |
| Jan 31, 2026 | 603.35 Mn |
| Oct 31, 2025 | 666.09 Mn |
| Jul 31, 2025 | 673.94 Mn |
| Apr 30, 2025 | 620.45 Mn |
| Jan 31, 2025 | 585.87 Mn |
| Oct 31, 2024 | 573.32 Mn |
| Jul 31, 2024 | 597.11 Mn |
| Apr 30, 2024 | 569.53 Mn |
| Jan 31, 2024 | 521.95 Mn |
| Oct 31, 2023 | 601.31 Mn |
| Jul 31, 2023 | 570.49 Mn |
| Apr 30, 2023 | 560.55 Mn |
| Jan 31, 2023 | 518.25 Mn |
| Oct 31, 2022 | 587.03 Mn |
| Jul 31, 2022 | 618.93 Mn |
| Apr 30, 2022 | 588.78 Mn |
| Jan 31, 2022 | 399.00 Mn |
| Oct 31, 2021 | 509.30 Mn |
API Access
Caseys General Stores Payables 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=payables&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();