Butler National (BUKS) Non-Current Assets (2011 - 2026)
Butler National's Non-Current Assets came in at $74.68 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 1.4% from $75.75 million a year earlier but up 0.2% from the prior quarter.
Butler National (BUKS) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Butler National's Non-Current Assets was $74.55 million, down 1.9% from FY2025.
- Non-Current Assets carries a five-year compound annual growth rate of 2.0% (FY2021 to FY2026).
- Going back by fiscal year, Non-Current Assets was $75.99 million in FY2025 (+0.8%), $75.38 million in FY2024 (+2.2%), $73.74 million in FY2023 (+1.0%) and $72.98 million in FY2022 (+8.2%).
- The five-year range for quarterly Non-Current Assets is $69.13 million (fiscal Q2 2022) to $76.58 million (fiscal Q2 2025).
- Year-over-year, Non-Current Assets has declined for four consecutive quarters, with an average decline of 0.2% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q1 2023 (growth of 9.0%), and the weakest in fiscal Q2 2026 (a decline of 2.0%).
- Business Quant data shows BUKS's Non-Current Assets at $74.55 million (Q4 2026), $74.62 million (Q3 2026) and $75.03 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 85.67 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 1.30 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 41.47 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 33.51 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 33.33 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 14.43 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 9.16 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 35.52 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 38.78 Bn |
| 10 | Butler National | 308.45 Mn | 176.34 Mn | 13.54 Mn | 74.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 74.68 Mn |
| Apr 30, 2026 | 74.55 Mn |
| Jan 31, 2026 | 74.62 Mn |
| Oct 31, 2025 | 75.03 Mn |
| Jul 31, 2025 | 75.75 Mn |
| Apr 30, 2025 | 75.99 Mn |
| Jan 31, 2025 | 75.90 Mn |
| Oct 31, 2024 | 76.58 Mn |
| Jul 31, 2024 | 75.64 Mn |
| Apr 30, 2024 | 75.38 Mn |
| Jan 31, 2024 | 74.49 Mn |
| Oct 31, 2023 | 74.79 Mn |
| Jul 31, 2023 | 73.22 Mn |
| Apr 30, 2023 | 73.74 Mn |
| Jan 31, 2023 | 73.12 Mn |
| Oct 31, 2022 | 73.46 Mn |
| Jul 31, 2022 | 73.49 Mn |
| Apr 30, 2022 | 72.98 Mn |
| Jan 31, 2022 | 69.75 Mn |
| Oct 31, 2021 | 69.13 Mn |
Butler National Non-Current Assets 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-assets&ticker=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-assets&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();