Butler National (BUKS) EBIT (2010 - 2026)
Butler National's EBIT came in at $7.42 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 59.1% from $4.67 million a year earlier but down 0.6% from the prior quarter.
Butler National (BUKS) EBIT (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Butler National reported EBIT of $31.21 million, up 73.8% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $28.45 million, up 69.1% from FY2025.
- EBIT has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 37.0% (FY2021 to FY2026).
- Going back by fiscal year, EBIT was $16.83 million in FY2025 (+27.1%), $13.24 million in FY2024 (+53.0%), $8.65 million in FY2023 (-46.3%) and $16.13 million in FY2022 (+173.4%).
- The five-year range for quarterly EBIT is -$358,000 (fiscal Q4 2023) to $9.24 million (fiscal Q3 2026).
- Year-over-year, EBIT has increased for five consecutive quarters, with growth averaging 46.3% over the last eight quarters.
- The fastest year-over-year change in EBIT over five years came in fiscal Q1 2025 (growth of 211.0%), and the weakest in fiscal Q1 2023 (a decline of 59.6%).
- Business Quant data shows BUKS's EBIT at $7.47 million (Q4 2026), $9.24 million (Q3 2026) and $7.08 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | -6.18 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 2.81 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 156.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 2.48 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 711.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.46 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 809.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.10 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.79 Bn |
| 10 | Butler National | 257.37 Mn | 125.26 Mn | 13.54 Mn | 7.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.42 Mn |
| Apr 30, 2026 | 7.47 Mn |
| Jan 31, 2026 | 9.24 Mn |
| Oct 31, 2025 | 7.08 Mn |
| Jul 31, 2025 | 4.67 Mn |
| Apr 30, 2025 | 4.41 Mn |
| Jan 31, 2025 | 4.03 Mn |
| Oct 31, 2024 | 4.85 Mn |
| Jul 31, 2024 | 3.54 Mn |
| Apr 30, 2024 | 4.71 Mn |
| Jan 31, 2024 | 3.80 Mn |
| Oct 31, 2023 | 3.60 Mn |
| Jul 31, 2023 | 1.14 Mn |
| Apr 30, 2023 | -358,000.00 |
| Jan 31, 2023 | 3.39 Mn |
| Oct 31, 2022 | 4.00 Mn |
| Jul 31, 2022 | 1.63 Mn |
| Apr 30, 2022 | 2.96 Mn |
| Oct 31, 2021 | 4.74 Mn |
| Jul 31, 2021 | 4.02 Mn |
Butler National EBIT 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=ebit&ticker=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();