Butler National (BUKS) Operating Expenses (2011 - 2026)
Butler National's Operating Expenses came in at $23.36 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 51.1% from $15.46 million a year earlier and up 15.6% from the prior quarter.
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Analysis
Butler National (BUKS) Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Butler National reported Operating Expenses of $77.41 million, up 16.8% year-over-year; for FY2026 (ended Apr 30, 2026), it was $69.51 million, up 3.5% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 4.6% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $67.14 million in FY2025 (+3.1%), $65.14 million in FY2024 (-2.1%), $66.53 million in FY2023 (+20.1%) and $55.39 million in FY2022 (-0.3%).
- The fiscal Q1 2027 figure represents the highest quarterly Operating Expenses in data going back to fiscal Q1 2012.
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2027 (growth of 51.1%), and the weakest in fiscal Q4 2024 (a decline of 12.3%).
- Business Quant data shows BUKS's Operating Expenses at $20.21 million (Q4 2026), $17.68 million (Q3 2026) and $16.17 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Butler National | 257.37 Mn | 125.26 Mn | 13.54 Mn | 23.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 23.36 Mn |
| Apr 30, 2026 | 20.21 Mn |
| Jan 31, 2026 | 17.68 Mn |
| Oct 31, 2025 | 16.17 Mn |
| Jul 31, 2025 | 15.46 Mn |
| Apr 30, 2025 | 17.19 Mn |
| Jan 31, 2025 | 17.15 Mn |
| Oct 31, 2024 | 16.51 Mn |
| Jul 31, 2024 | 16.29 Mn |
| Apr 30, 2024 | 17.92 Mn |
| Jan 31, 2024 | 15.17 Mn |
| Oct 31, 2023 | 16.00 Mn |
| Jul 31, 2023 | 16.05 Mn |
| Apr 30, 2023 | 20.45 Mn |
| Jan 31, 2023 | 17.08 Mn |
| Oct 31, 2022 | 15.32 Mn |
| Jul 31, 2022 | 13.68 Mn |
| Apr 30, 2022 | 14.54 Mn |
| Oct 31, 2021 | 13.91 Mn |
| Jul 31, 2021 | 13.72 Mn |
API Access
Butler National Operating Expenses 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=operating-expenses&ticker=BUKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();