Butler National (BUKS) Total Liabilities (2011 - 2026)
Butler National (BUKS) reported Total Liabilities of $53.22 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 18.2% from $65.04 million a year earlier and down 11.1% from the prior quarter.
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Analysis
Butler National (BUKS) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Butler National posted Total Liabilities of $59.86 million, up 2.9% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of -0.2% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $58.18 million in FY2025 (-2.3%), $59.53 million in FY2024 (-11.3%), $67.13 million in FY2023 (+11.9%) and $59.98 million in FY2022 (-0.9%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Total Liabilities since fiscal Q4 2019.
- Year over year, Total Liabilities gained in four of the last eight quarters, with an average decline of 1.6%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q1 2023 (growth of 12.7%); the low point was fiscal Q1 2027 (a decline of 18.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $59.86 million (Q4 2026), $64.64 million (Q3 2026) and $57.97 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Butler National | 257.37 Mn | 125.26 Mn | 13.54 Mn | 53.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 53.22 Mn |
| Apr 30, 2026 | 59.86 Mn |
| Jan 31, 2026 | 64.64 Mn |
| Oct 31, 2025 | 57.97 Mn |
| Jul 31, 2025 | 65.04 Mn |
| Apr 30, 2025 | 58.18 Mn |
| Jan 31, 2025 | 66.23 Mn |
| Oct 31, 2024 | 55.28 Mn |
| Jul 31, 2024 | 58.36 Mn |
| Apr 30, 2024 | 59.53 Mn |
| Jan 31, 2024 | 63.37 Mn |
| Oct 31, 2023 | 64.12 Mn |
| Jul 31, 2023 | 62.78 Mn |
| Apr 30, 2023 | 67.13 Mn |
| Jan 31, 2023 | 64.63 Mn |
| Oct 31, 2022 | 60.81 Mn |
| Jul 31, 2022 | 62.22 Mn |
| Apr 30, 2022 | 59.98 Mn |
| Oct 31, 2021 | 61.39 Mn |
| Jul 31, 2021 | 55.20 Mn |
API Access
Butler National Total Liabilities 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=total-liabilities&ticker=BUKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();