Butler National (BUKS) Shares Outstanding (2010 - 2026)
Butler National (BUKS) posted Shares Outstanding of 63.86 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 4.6% from 66.92 million a year earlier and down 1.7% from the prior quarter.
Butler National (BUKS) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Butler National's Shares Outstanding came in at 64.97 million, down 4.2% from FY2025.
- Annual Shares Outstanding has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -2.6% (FY2021 to FY2026).
- In prior fiscal years, Butler National's Shares Outstanding was 67.82 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 stands as the lowest quarterly Shares Outstanding since fiscal Q2 2019.
- On a year-over-year basis, Shares Outstanding has declined in each of the last 13 quarters, with an average decline of 3.8% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was fiscal Q2 2023, with growth of 1.9%; the weakest was fiscal Q2 2024, with a decline of 9.5%.
- According to Business Quant data, Shares Outstanding for the three prior fiscal quarters was 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 (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 1.04 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.35 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 790.80 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 230.20 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 400.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 270.16 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 165.80 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 142.10 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 317.10 Mn |
| 10 | Butler National | 257.37 Mn | 125.26 Mn | 13.54 Mn | 63.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 63.86 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 | 67.82 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 23, 2022 | 75.36 Mn |
| Oct 31, 2021 | 75.36 Mn |
Butler National Shares Outstanding 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&ticker=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();