Butler National (BUKS) Other Operating Expenses (2011 - 2026)
Butler National (BUKS) recorded Other Operating Expenses of $4.98 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 23.5% from $4.03 million a year earlier but down 13.3% from the prior quarter.
Butler National (BUKS) Other Operating Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, Butler National's Other Operating Expenses came in at $19.05 million as of Jul 31, 2026, up 8.7% year-over-year; for FY2026 (ended Apr 30, 2026), it was $18.1 million, up 3.4% from FY2025.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 17.1% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $17.5 million in FY2025 (+11.8%), $15.66 million in FY2024 (-20.9%), $19.8 million in FY2023 (+42.7%) and $13.88 million in FY2022 (+69.1%).
- Quarterly Other Operating Expenses has ranged from $2.03 million in fiscal Q2 2022 to $7.84 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for three consecutive quarters, with growth averaging 8.5% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 224.8% in fiscal Q4 2022, against a decline of 41.8% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5.74 million (Q4 2026), $4.38 million (Q3 2026) and $3.94 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 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 |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Butler National | 257.37 Mn | 125.26 Mn | 13.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.98 Mn |
| Apr 30, 2026 | 5.74 Mn |
| Jan 31, 2026 | 4.38 Mn |
| Oct 31, 2025 | 3.94 Mn |
| Jul 31, 2025 | 4.03 Mn |
| Apr 30, 2025 | 5.46 Mn |
| Jan 31, 2025 | 3.91 Mn |
| Oct 31, 2024 | 4.12 Mn |
| Jul 31, 2024 | 4.01 Mn |
| Apr 30, 2024 | 4.37 Mn |
| Jan 31, 2024 | 4.01 Mn |
| Oct 31, 2023 | 3.79 Mn |
| Jul 31, 2023 | 3.50 Mn |
| Apr 30, 2023 | 7.50 Mn |
| Jan 31, 2023 | 4.78 Mn |
| Oct 31, 2022 | 3.62 Mn |
| Jul 31, 2022 | 3.90 Mn |
| Apr 30, 2022 | 7.84 Mn |
| Oct 31, 2021 | 2.03 Mn |
| Jul 31, 2021 | 1.93 Mn |
Butler National Other 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=other-operating-expenses&ticker=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();