Butler National (BUKS) Net Long-Term Debt Issued (Repaid) (2010 - 2026)
Butler National (BUKS) recorded Non-Current Debt of $1.26 million in FY2022 (year ended Apr 30, 2022), down 49.1% from $2.48 million in FY2021.
Analysis
Butler National (BUKS) Net Long-Term Debt Issued (Repaid) (2010 - 2026) Analysis & Trends
- Per Business Quant data, BUKS's Non-Current Debt was $2.48 million in FY2021 (-26.7%) and $3.38 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | -248.00 Mn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | -2.00 Mn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | -28.00 Mn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | -500.00 Mn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 942.00 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | - |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | - |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | -1.50 Bn |
| 10 | Butler National | 308.45 Mn | 176.34 Mn | 13.54 Mn | -1.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -1.55 Mn |
| Apr 30, 2026 | -1.43 Mn |
| Jan 31, 2026 | -1.66 Mn |
| Oct 31, 2025 | -1.55 Mn |
| Jul 31, 2025 | -1.39 Mn |
| Apr 30, 2025 | -1.44 Mn |
| Jan 31, 2025 | -1.33 Mn |
| Oct 31, 2024 | -1.28 Mn |
| Jul 31, 2024 | -1.27 Mn |
| Apr 30, 2024 | -1.64 Mn |
| Jan 31, 2024 | -1.26 Mn |
| Oct 31, 2023 | -1.25 Mn |
| Jul 31, 2023 | -1.40 Mn |
| Apr 30, 2023 | -1.30 Mn |
| Jan 31, 2023 | -1.39 Mn |
| Oct 31, 2022 | -1.38 Mn |
| Jul 31, 2022 | -1.37 Mn |
| Apr 30, 2022 | -1.32 Mn |
| Oct 31, 2021 | -935,000.00 |
| Jul 31, 2021 | -1.06 Mn |
API Access
Butler National Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();