Butler National (BUKS) EBITDA (2011 - 2026)
Butler National's EBITDA was $9.2 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 44.3% from $6.37 million a year earlier but down 0.6% from the prior quarter.
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Analysis
Butler National (BUKS) EBITDA (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Butler National's EBITDA was $38.14 million through Jul 31, 2026, up 53.7% year-over-year; for FY2026 (ended Apr 30, 2026), it was $35.32 million, up 49.8% from FY2025.
- EBITDA has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 30.2% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $23.57 million in FY2025 (+22.1%), $19.31 million in FY2024 (+32.7%), $14.55 million in FY2023 (-32.0%) and $21.41 million in FY2022 (+126.8%).
- Quarterly EBITDA has moved between $1.22 million (fiscal Q4 2023) and $10.93 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, EBITDA has increased for five straight quarters, with growth averaging 34.4% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2024 (growth of 410.9%); the worst was fiscal Q4 2023 (a decline of 66.8%).
- Per Business Quant data, BUKS's EBITDA in the three fiscal quarters before Q1 2027 was $9.25 million (Q4 2026), $10.93 million (Q3 2026) and $8.77 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.68 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Butler National | 257.37 Mn | 125.26 Mn | 13.54 Mn | 9.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.20 Mn |
| Apr 30, 2026 | 9.25 Mn |
| Jan 31, 2026 | 10.93 Mn |
| Oct 31, 2025 | 8.77 Mn |
| Jul 31, 2025 | 6.37 Mn |
| Apr 30, 2025 | 6.14 Mn |
| Jan 31, 2025 | 5.79 Mn |
| Oct 31, 2024 | 6.51 Mn |
| Jul 31, 2024 | 5.13 Mn |
| Apr 30, 2024 | 6.22 Mn |
| Jan 31, 2024 | 5.30 Mn |
| Oct 31, 2023 | 5.22 Mn |
| Jul 31, 2023 | 2.56 Mn |
| Apr 30, 2023 | 1.22 Mn |
| Jan 31, 2023 | 4.77 Mn |
| Oct 31, 2022 | 4.76 Mn |
| Jul 31, 2022 | 3.08 Mn |
| Apr 30, 2022 | 3.67 Mn |
| Oct 31, 2021 | 5.45 Mn |
| Jul 31, 2021 | 4.72 Mn |
API Access
Butler National EBITDA 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=ebitda&ticker=BUKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();