Caseys General Stores (CASY) Tax Provisions (2009 - 2026)
Caseys General Stores (CASY) recorded Tax Provisions of $73.31 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 16.2% from $63.1 million a year earlier and up 45.3% from the prior quarter.
Caseys General Stores (CASY) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Caseys General Stores' Tax Provisions came in at $232.78 million as of Jul 31, 2026, up 35.4% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $222.58 million, up 34.1% from FY2025.
- Annual Tax Provisions has increased for seven straight fiscal years, with a five-year compound annual growth rate of 18.7% (FY2021 to FY2026).
- Across earlier fiscal years, Tax Provisions came in at $165.93 million in FY2025 (+7.6%), $154.19 million in FY2024 (+9.5%), $140.83 million in FY2023 (+39.5%) and $100.94 million in FY2022 (+6.8%).
- The fiscal Q1 2027 figure is the highest quarterly Tax Provisions in data going back to fiscal Q1 2010.
- On a year-over-year basis, Tax Provisions has increased for six consecutive quarters, with growth averaging 28.1% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 100.3% in fiscal Q3 2026, against a decline of 25.1% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $50.44 million (Q4 2026), $41.37 million (Q3 2026) and $67.66 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 940.04 Bn | 896.48 Bn | 49.13 Bn | 1.48 Bn |
| 2 | Costco Wholesale | 440.88 Bn | 364.16 Bn | 12.19 Bn | 1.01 Bn |
| 3 | Sysco | 39.65 Bn | 33.90 Bn | 4.13 Bn | 169.00 Mn |
| 4 | Kroger | 38.27 Bn | 24.43 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 29.61 Bn | 24.29 Bn | 3.68 Bn | 175.97 Mn |
| 6 | Caseys General Stores | 25.45 Bn | 23.45 Bn | 1.24 Bn | 73.31 Mn |
| 7 | Dollar Tree | 23.75 Bn | 20.37 Bn | 2.10 Bn | 171.90 Mn |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | 94.00 Mn |
| 9 | Tractor Supply | 17.18 Bn | 16.35 Bn | 1.68 Bn | 89.30 Mn |
| 10 | Performance Food | 15.13 Bn | 14.91 Bn | 2.17 Bn | 59.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 73.31 Mn |
| Apr 30, 2026 | 50.44 Mn |
| Jan 31, 2026 | 41.37 Mn |
| Oct 31, 2025 | 67.66 Mn |
| Jul 31, 2025 | 63.10 Mn |
| Apr 30, 2025 | 29.35 Mn |
| Jan 31, 2025 | 20.65 Mn |
| Oct 31, 2024 | 58.82 Mn |
| Jul 31, 2024 | 57.11 Mn |
| Apr 30, 2024 | 25.17 Mn |
| Jan 31, 2024 | 27.59 Mn |
| Oct 31, 2023 | 49.17 Mn |
| Jul 31, 2023 | 52.26 Mn |
| Apr 30, 2023 | 16.50 Mn |
| Jan 31, 2023 | 31.83 Mn |
| Oct 31, 2022 | 42.56 Mn |
| Jul 31, 2022 | 49.94 Mn |
| Apr 30, 2022 | 12.91 Mn |
| Jan 31, 2022 | 19.51 Mn |
| Oct 31, 2021 | 32.34 Mn |
Caseys General Stores Tax Provisions 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=tax-provisions&ticker=CASY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();