Butler National (BUKS) Assets (2011 - 2026)
Butler National (BUKS) reported Assets of $139.52 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 7.1% from $130.28 million a year earlier but down 1.6% from the prior quarter.
Butler National (BUKS) Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Butler National posted Assets of $141.84 million, up 15.0% from FY2025.
- Assets has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 6.8% (FY2021 to FY2026).
- By fiscal year, Assets came in at $123.3 million in FY2025 (+8.2%), $113.98 million in FY2024 (+0.1%), $113.91 million in FY2023 (+13.0%) and $100.81 million in FY2022 (-1.1%).
- Five-year quarterly Assets spans a low of $96.98 million in fiscal Q2 2022 and a high of $141.84 million in fiscal Q4 2026.
- Year over year, Assets has now increased in each of the last 14 quarters, with growth averaging 10.2% over the last eight quarters.
- The high point for year-over-year Assets in five years was fiscal Q4 2026 (growth of 15.0%); the low point was fiscal Q4 2022 (a decline of 1.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $141.84 million (Q4 2026), $140.98 million (Q3 2026) and $128.18 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 127.67 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 173.97 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 165.87 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 62.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 13.25 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 60.16 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 19.24 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 50.76 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 77.34 Bn |
| 10 | Butler National | 257.37 Mn | 125.26 Mn | 13.54 Mn | 139.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 139.52 Mn |
| Apr 30, 2026 | 141.84 Mn |
| Jan 31, 2026 | 140.98 Mn |
| Oct 31, 2025 | 128.18 Mn |
| Jul 31, 2025 | 130.28 Mn |
| Apr 30, 2025 | 123.30 Mn |
| Jan 31, 2025 | 128.60 Mn |
| Oct 31, 2024 | 114.34 Mn |
| Jul 31, 2024 | 114.65 Mn |
| Apr 30, 2024 | 113.98 Mn |
| Jan 31, 2024 | 113.28 Mn |
| Oct 31, 2023 | 111.61 Mn |
| Jul 31, 2023 | 105.00 Mn |
| Apr 30, 2023 | 113.91 Mn |
| Jan 31, 2023 | 111.08 Mn |
| Oct 31, 2022 | 105.38 Mn |
| Jul 31, 2022 | 103.97 Mn |
| Apr 30, 2022 | 100.81 Mn |
| Oct 31, 2021 | 96.98 Mn |
| Jul 31, 2021 | 101.50 Mn |
Butler National Assets 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=assets&ticker=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();