Butler National (BUKS) Total Current Liabilities (2011 - 2026)
Butler National (BUKS) recorded Total Current Liabilities of $25.76 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 21.1% from $32.64 million a year earlier and down 18.0% from the prior quarter.
Butler National (BUKS) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Butler National reported Total Current Liabilities of $31.42 million, up 28.7% from FY2025.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 12.3% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $24.41 million in FY2025 (+6.5%), $22.92 million in FY2024 (-9.7%), $25.38 million in FY2023 (+85.7%) and $13.67 million in FY2022 (-22.2%).
- The fiscal Q1 2027 figure is the lowest quarterly Total Current Liabilities since fiscal Q4 2025.
- On a year-over-year basis, Total Current Liabilities rose in six of the last eight quarters, with growth averaging 13.9%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 85.7% in fiscal Q4 2023, against a decline of 22.2% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $31.42 million (Q4 2026), $35.21 million (Q3 2026) and $27.1 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 40.43 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 63.25 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 109.56 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 23.81 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 2.31 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 18.77 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 5.58 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 13.35 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 23.19 Bn |
| 10 | Butler National | 257.37 Mn | 125.26 Mn | 13.54 Mn | 25.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 25.76 Mn |
| Apr 30, 2026 | 31.42 Mn |
| Jan 31, 2026 | 35.21 Mn |
| Oct 31, 2025 | 27.10 Mn |
| Jul 31, 2025 | 32.64 Mn |
| Apr 30, 2025 | 24.41 Mn |
| Jan 31, 2025 | 31.10 Mn |
| Oct 31, 2024 | 20.61 Mn |
| Jul 31, 2024 | 22.42 Mn |
| Apr 30, 2024 | 22.92 Mn |
| Jan 31, 2024 | 25.23 Mn |
| Oct 31, 2023 | 24.76 Mn |
| Jul 31, 2023 | 22.21 Mn |
| Apr 30, 2023 | 25.38 Mn |
| Jan 31, 2023 | 21.46 Mn |
| Oct 31, 2022 | 16.41 Mn |
| Jul 31, 2022 | 16.61 Mn |
| Apr 30, 2022 | 13.67 Mn |
| Oct 31, 2021 | 13.88 Mn |
| Jul 31, 2021 | 13.24 Mn |
Butler National Total Current 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-current-liabilities&ticker=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();