Butler National (BUKS) Total Non-Current Liabilities (2018 - 2026)
Butler National (BUKS) posted Total Non-Current Liabilities of $27.46 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 15.3% from $32.4 million a year earlier and down 3.5% from the prior quarter.
Butler National (BUKS) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Butler National's Total Non-Current Liabilities came in at $28.45 million, down 15.8% from FY2025.
- Annual Total Non-Current Liabilities has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -7.9% (FY2021 to FY2026).
- In prior fiscal years, Butler National's Total Non-Current Liabilities was $33.77 million in FY2025 (-7.8%), $36.62 million in FY2024 (-12.3%), $41.75 million in FY2023 (-9.9%) and $46.31 million in FY2022 (+7.8%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Total Non-Current Liabilities since fiscal Q4 2019.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last 14 quarters, with an average decline of 12.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q1 2023, with growth of 8.7%; the weakest was fiscal Q3 2026, with a decline of 16.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $28.45 million (Q4 2026), $29.43 million (Q3 2026) and $30.87 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 95.58 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 82.00 Mn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 161.64 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 48.98 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 14.09 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 15.89 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 6.79 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 31.46 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 26.94 Bn |
| 10 | Butler National | 308.45 Mn | 176.34 Mn | 13.54 Mn | 27.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 27.46 Mn |
| Apr 30, 2026 | 28.45 Mn |
| Jan 31, 2026 | 29.43 Mn |
| Oct 31, 2025 | 30.87 Mn |
| Jul 31, 2025 | 32.40 Mn |
| Apr 30, 2025 | 33.77 Mn |
| Jan 31, 2025 | 35.13 Mn |
| Oct 31, 2024 | 34.67 Mn |
| Jul 31, 2024 | 35.94 Mn |
| Apr 30, 2024 | 36.62 Mn |
| Jan 31, 2024 | 38.14 Mn |
| Oct 31, 2023 | 39.37 Mn |
| Jul 31, 2023 | 40.57 Mn |
| Apr 30, 2023 | 41.75 Mn |
| Jan 31, 2023 | 43.17 Mn |
| Oct 31, 2022 | 44.40 Mn |
| Jul 31, 2022 | 45.61 Mn |
| Apr 30, 2022 | 46.31 Mn |
| Jan 31, 2022 | 46.20 Mn |
| Oct 31, 2021 | 47.50 Mn |
Butler National Total Non-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-non-current-liabilities&ticker=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();