Butler National (BUKS) Enterprise Value (2010 - 2026)
Butler National (BUKS) recorded Enterprise Value of $266.17 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 150.2% from $106.36 million a year earlier and up 18.6% from the prior quarter.
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Analysis
Butler National (BUKS) Enterprise Value (2010 - 2026) Analysis & Trends
On a TTM basis, Butler National's Enterprise Value came in at $169.32 million as of Jul 31, 2026, up 59.2% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $224.42 million, up 199.7% from FY2025.
- Annual Enterprise Value has increased for three straight fiscal years, with a five-year compound annual growth rate of 50.3% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $74.87 million in FY2025 (+87.3%), $39.98 million in FY2024 (+28.7%), $31.06 million in FY2023 (-47.0%) and $58.62 million in FY2022 (+100.6%).
- The fiscal Q1 2027 figure is the highest quarterly Enterprise Value in data going back to fiscal Q1 2011.
- On a year-over-year basis, Enterprise Value has increased for 11 consecutive quarters, with growth averaging 131.7% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 199.7% in fiscal Q4 2026, against a decline of 47.0% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $224.42 million (Q4 2026), $155.73 million (Q3 2026) and $154.27 million (Q2 2026).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 266.17 Mn |
| Apr 30, 2026 | 224.42 Mn |
| Jan 31, 2026 | 155.73 Mn |
| Oct 31, 2025 | 154.27 Mn |
| Jul 31, 2025 | 106.36 Mn |
| Apr 30, 2025 | 74.87 Mn |
| Jan 31, 2025 | 84.22 Mn |
| Oct 31, 2024 | 71.70 Mn |
| Jul 31, 2024 | 44.98 Mn |
| Apr 30, 2024 | 39.98 Mn |
| Jan 31, 2024 | 35.82 Mn |
| Oct 31, 2023 | 29.30 Mn |
| Jul 31, 2023 | 40.06 Mn |
| Apr 30, 2023 | 31.06 Mn |
| Jan 31, 2023 | 35.17 Mn |
| Oct 31, 2022 | 39.24 Mn |
| Jul 31, 2022 | 47.40 Mn |
| Apr 30, 2022 | 58.62 Mn |
| Jan 23, 2022 | 41.96 Mn |
| Oct 31, 2021 | 38.32 Mn |
API Access
Butler National Enterprise Value 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=enterprise-value&ticker=BUKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();