Butler National (BUKS) Cost of Revenue (2011 - 2026)
Butler National's Cost of Revenue was $17.24 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 64.1% from $10.5 million a year earlier and up 27.4% from the prior quarter.
Butler National (BUKS) Cost of Revenue (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Butler National's Cost of Revenue was $54.53 million through Jul 31, 2026, up 21.0% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $47.8 million, up 4.1% from FY2025.
- Cost of Revenue has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 5.0% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $45.92 million in FY2025 (+3.3%), $44.47 million in FY2024 (+7.7%), $41.3 million in FY2023 (+13.5%) and $36.4 million in FY2022 (-3.0%).
- The fiscal Q1 2027 figure marks the highest quarterly Cost of Revenue since fiscal Q4 2018.
- Compared with a year earlier, Cost of Revenue has increased for three straight quarters, with growth averaging 12.3% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q1 2027 (growth of 64.1%); the worst was fiscal Q4 2022 (a decline of 14.6%).
- Per Business Quant data, BUKS's Cost of Revenue in the three fiscal quarters before Q1 2027 was $13.53 million (Q4 2026), $12.43 million (Q3 2026) and $11.34 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 345.55 Bn | 304.06 Bn | 5.02 Bn | 9.10 Bn |
| 2 | Rtx | 264.81 Bn | 233.08 Bn | 5.81 Bn | 19.16 Bn |
| 3 | Boeing | 136.43 Bn | 45.39 Bn | 2.17 Bn | 22.02 Bn |
| 4 | Lockheed Martin | 135.31 Bn | 119.54 Bn | 2.44 Bn | 18.28 Bn |
| 5 | General Dynamics | 97.78 Bn | 83.01 Bn | 2.25 Bn | 12.32 Bn |
| 6 | Motorola Solutions | 87.14 Bn | 83.60 Bn | 1.77 Bn | 1.61 Bn |
| 7 | Howmet Aerospace | 85.90 Bn | 81.66 Bn | 1.00 Bn | 1.70 Bn |
| 8 | Northrop Grumman | 76.66 Bn | 64.11 Bn | 2.35 Bn | 8.77 Bn |
| 9 | Honeywell International | 72.75 Bn | 32.26 Bn | 2.02 Bn | 2.98 Bn |
| 10 | Butler National | 319.30 Mn | 187.19 Mn | 13.54 Mn | 17.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 17.24 Mn |
| Apr 30, 2026 | 13.53 Mn |
| Jan 31, 2026 | 12.43 Mn |
| Oct 31, 2025 | 11.34 Mn |
| Jul 31, 2025 | 10.50 Mn |
| Apr 30, 2025 | 10.77 Mn |
| Jan 31, 2025 | 12.35 Mn |
| Oct 31, 2024 | 11.43 Mn |
| Jul 31, 2024 | 11.37 Mn |
| Apr 30, 2024 | 12.40 Mn |
| Jan 31, 2024 | 9.94 Mn |
| Oct 31, 2023 | 10.86 Mn |
| Jul 31, 2023 | 11.27 Mn |
| Apr 30, 2023 | 11.54 Mn |
| Jan 31, 2023 | 10.98 Mn |
| Oct 31, 2022 | 10.33 Mn |
| Jul 31, 2022 | 8.45 Mn |
| Apr 30, 2022 | 9.13 Mn |
| Jan 31, 2022 | 8.55 Mn |
| Oct 31, 2021 | 9.38 Mn |
Butler National Cost of Revenue 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=cost-of-revenue&ticker=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();