Butler National (BUKS) Shares Outstanding (Diluted) (2010 - 2026)
Butler National (BUKS) reported Shares Outstanding (Diluted) of 63.95 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 4.4% from 66.92 million a year earlier and down 1.6% from the prior quarter.
Butler National (BUKS) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Butler National posted Shares Outstanding (Diluted) of 64.97 million, down 4.2% from FY2025.
- Shares Outstanding (Diluted) has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -2.6% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Diluted) came in at 67.84 million in FY2025 (-3.7%), 70.44 million in FY2024 (-7.9%), 76.46 million in FY2023 (+1.5%) and 75.34 million in FY2022 (+1.6%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Shares Outstanding (Diluted) since fiscal Q2 2019.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last 13 quarters, with an average decline of 3.8% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was fiscal Q2 2023 (growth of 1.9%); the low point was fiscal Q2 2024 (a decline of 9.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 64.97 million (Q4 2026), 64.23 million (Q3 2026) and 64.57 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 1.04 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 1.37 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 792.90 Mn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 231.50 Mn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 273.78 Mn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 167.40 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 400.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 142.40 Mn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 319.20 Mn |
| 10 | Butler National | 308.45 Mn | 176.34 Mn | 13.54 Mn | 63.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 63.95 Mn |
| Apr 30, 2026 | 64.97 Mn |
| Jan 31, 2026 | 64.23 Mn |
| Oct 31, 2025 | 64.57 Mn |
| Jul 31, 2025 | 66.92 Mn |
| Apr 30, 2025 | 67.84 Mn |
| Jan 31, 2025 | 66.96 Mn |
| Oct 31, 2024 | 68.03 Mn |
| Jul 31, 2024 | 68.74 Mn |
| Apr 30, 2024 | 70.44 Mn |
| Jan 31, 2024 | 69.63 Mn |
| Oct 31, 2023 | 69.50 Mn |
| Jul 31, 2023 | 75.20 Mn |
| Apr 30, 2023 | 76.46 Mn |
| Jan 31, 2023 | 76.66 Mn |
| Oct 31, 2022 | 76.78 Mn |
| Jul 31, 2022 | 76.46 Mn |
| Apr 30, 2022 | 75.34 Mn |
| Jan 31, 2022 | 75.34 Mn |
| Oct 31, 2021 | 75.36 Mn |
Butler National Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();