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 | 324.09 Bn | 278.09 Bn | 4.68 Bn | 87.98 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.25 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 41.24 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 34.05 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 9.06 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 33.13 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 13.11 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 35.17 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 49.27 Bn |
| 10 | Butler National | 257.37 Mn | 125.26 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 |
| Oct 31, 2021 | 69.13 Mn |
| Jul 31, 2021 | 67.41 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();