Caseys General Stores (CASY) Retained Earnings (2010 - 2026)
Caseys General Stores (CASY) reported Retained Earnings of $4.09 billion for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 12.4% from $3.64 billion a year earlier and up 3.6% from the prior quarter.
Powered by 
Analysis
Caseys General Stores (CASY) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Caseys General Stores posted Retained Earnings of $3.95 billion, up 14.2% from FY2025.
- Retained Earnings has increased for 15 consecutive fiscal years, with a five-year compound annual growth rate of 16.1% (FY2021 to FY2026).
- By fiscal year, Retained Earnings came in at $3.46 billion in FY2025 (+15.8%), $2.99 billion in FY2024 (+17.1%), $2.55 billion in FY2023 (+18.0%) and $2.16 billion in FY2022 (+15.4%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Retained Earnings in data going back to fiscal Q4 2010.
- Year over year, Retained Earnings has now increased in each of the last 60 quarters, with growth averaging 14.9% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 12.4% (fiscal Q1 2027) and 18.6% (fiscal Q3 2023) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $3.95 billion (Q4 2026), $3.85 billion (Q3 2026) and $3.81 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 944.30 Bn | 900.73 Bn | 49.13 Bn | 103.60 Bn |
| 2 | Costco Wholesale | 442.04 Bn | 365.32 Bn | 12.19 Bn | 28.59 Bn |
| 3 | Sysco | 39.13 Bn | 33.38 Bn | 4.13 Bn | 13.75 Bn |
| 4 | Kroger | 38.19 Bn | 24.34 Bn | 7.86 Bn | 29.95 Bn |
| 5 | Dollar General | 29.40 Bn | 24.07 Bn | 3.68 Bn | 5.13 Bn |
| 6 | Caseys General Stores | 25.66 Bn | 23.65 Bn | 1.24 Bn | 4.09 Bn |
| 7 | Dollar Tree | 23.48 Bn | 20.11 Bn | 2.10 Bn | 3.48 Bn |
| 8 | US Foods Holding | 22.05 Bn | 21.85 Bn | 1.92 Bn | 3.07 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.36 Bn | 1.68 Bn | 7.79 Bn |
| 10 | Performance Food | 14.93 Bn | 14.71 Bn | 2.17 Bn | 2.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.09 Bn |
| Apr 30, 2026 | 3.95 Bn |
| Jan 31, 2026 | 3.85 Bn |
| Oct 31, 2025 | 3.81 Bn |
| Jul 31, 2025 | 3.64 Bn |
| Apr 30, 2025 | 3.46 Bn |
| Jan 31, 2025 | 3.38 Bn |
| Oct 31, 2024 | 3.31 Bn |
| Jul 31, 2024 | 3.15 Bn |
| Apr 30, 2024 | 2.99 Bn |
| Jan 31, 2024 | 2.92 Bn |
| Oct 31, 2023 | 2.85 Bn |
| Jul 31, 2023 | 2.70 Bn |
| Apr 30, 2023 | 2.55 Bn |
| Jan 31, 2023 | 2.51 Bn |
| Oct 31, 2022 | 2.42 Bn |
| Jul 31, 2022 | 2.30 Bn |
| Apr 30, 2022 | 2.16 Bn |
| Jan 31, 2022 | 2.11 Bn |
| Oct 31, 2021 | 2.06 Bn |
API Access
Caseys General Stores Retained Earnings 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=retained-earnings&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();