Butler National (BUKS) Gross Margin (2011 - 2026)
Butler National (BUKS) recorded Gross Margin of 44.00% in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 3.81 percentage points from 47.81% a year earlier and down 7.13 percentage points from the prior quarter.
Butler National (BUKS) Gross Margin (2011 - 2026) Analysis & Trends
On a TTM basis, Butler National's Gross Margin came in at 49.80% as of Jul 31, 2026, up 3.27 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it came in at 51.21%, up 5.90 percentage points from FY2025.
- Annual Gross Margin has a five-year change of +12.22 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Gross Margin came in at 45.31% in FY2025 (+2.05 pp), 43.26% in FY2024 (-1.80 pp), 45.06% in FY2023 (-4.05 pp) and 49.11% in FY2022 (+10.12 pp).
- The fiscal Q1 2027 figure is the lowest quarterly Gross Margin since fiscal Q3 2025.
- On a year-over-year basis, Gross Margin rose in six of the last eight quarters, with an average year-over-year change of +2.52 percentage points.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 12.96 percentage points in fiscal Q2 2022, against a drop of 10.38 percentage points in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 51.13% (Q4 2026), 53.81% (Q3 2026) and 51.25% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 35.03% |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 20.77% |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 9.83% |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 12.19% |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 37.34% |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 15.49% |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 53.56% |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 19.50% |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 37.59% |
| 10 | Butler National | 257.37 Mn | 125.26 Mn | 13.54 Mn | 44.00% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 44.00% |
| Apr 30, 2026 | 51.13% |
| Jan 31, 2026 | 53.81% |
| Oct 31, 2025 | 51.25% |
| Jul 31, 2025 | 47.81% |
| Apr 30, 2025 | 50.14% |
| Jan 31, 2025 | 41.68% |
| Oct 31, 2024 | 46.47% |
| Jul 31, 2024 | 42.68% |
| Apr 30, 2024 | 45.20% |
| Jan 31, 2024 | 47.57% |
| Oct 31, 2023 | 44.61% |
| Jul 31, 2023 | 34.41% |
| Apr 30, 2023 | 42.55% |
| Jan 31, 2023 | 46.35% |
| Oct 31, 2022 | 46.53% |
| Jul 31, 2022 | 44.79% |
| Apr 30, 2022 | 47.84% |
| Oct 31, 2021 | 49.70% |
| Jul 31, 2021 | 47.38% |
Butler National Gross Margin 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=gross-margin&ticker=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();