Butler National (BUKS) Retained Earnings (2011 - 2026)
Butler National's Retained Earnings was $86.73 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 37.2% from $63.21 million a year earlier and up 6.5% from the prior quarter.
Butler National (BUKS) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Retained Earnings at Butler National came in at $81.46 million, up 36.8% from FY2025.
- Retained Earnings has now increased for 13 consecutive fiscal years, with a five-year compound annual growth rate of 33.0% (FY2021 to FY2026).
- In earlier fiscal years, Retained Earnings was $59.53 million in FY2025 (+26.7%), $46.98 million in FY2024 (+36.3%), $34.46 million in FY2023 (+15.1%) and $29.95 million in FY2022 (+53.0%).
- The fiscal Q1 2027 figure marks the highest quarterly Retained Earnings in data going back to fiscal Q4 2011.
- Compared with a year earlier, Retained Earnings has increased for 14 straight quarters, with growth averaging 32.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 15.1% in fiscal Q4 2023 to 53.0% in fiscal Q4 2022.
- Per Business Quant data, BUKS's Retained Earnings in the three fiscal quarters before Q1 2027 was $81.46 million (Q4 2026), $75.91 million (Q3 2026) and $69.21 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 90.95 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 58.02 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 16.63 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 15.76 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 5.11 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 45.50 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 2.63 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 17.84 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 55.96 Bn |
| 10 | Butler National | 257.37 Mn | 125.26 Mn | 13.54 Mn | 86.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 86.73 Mn |
| Apr 30, 2026 | 81.46 Mn |
| Jan 31, 2026 | 75.91 Mn |
| Oct 31, 2025 | 69.21 Mn |
| Jul 31, 2025 | 63.21 Mn |
| Apr 30, 2025 | 59.53 Mn |
| Jan 31, 2025 | 56.20 Mn |
| Oct 31, 2024 | 52.82 Mn |
| Jul 31, 2024 | 49.22 Mn |
| Apr 30, 2024 | 46.98 Mn |
| Jan 31, 2024 | 42.52 Mn |
| Oct 31, 2023 | 40.13 Mn |
| Jul 31, 2023 | 35.18 Mn |
| Apr 30, 2023 | 34.46 Mn |
| Jan 31, 2023 | 35.04 Mn |
| Oct 31, 2022 | 33.06 Mn |
| Jul 31, 2022 | 30.38 Mn |
| Apr 30, 2022 | 29.95 Mn |
| Oct 31, 2021 | 25.64 Mn |
| Jul 31, 2021 | 22.49 Mn |
Butler National 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=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "BUKS", "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=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();