Butler National (BUKS) Property, Plant & Equipment (Net) (2011 - 2026)
Butler National (BUKS) reported Property, Plant & Equipment (Net) of $57.8 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 3.3% from $59.76 million a year earlier and down 0.3% from the prior quarter.
Butler National (BUKS) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Butler National posted Property, Plant & Equipment (Net) of $57.98 million, down 3.8% from FY2025.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 0.6% (FY2021 to FY2026).
- By fiscal year, Property, Plant & Equipment (Net) came in at $60.26 million in FY2025 (+1.1%), $59.59 million in FY2024 (+0.9%), $59.07 million in FY2023 (+0.4%) and $58.85 million in FY2022 (+4.4%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q2 2022.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last four quarters, with an average decline of 1.0% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was fiscal Q1 2023 (growth of 10.1%); the low point was fiscal Q1 2024 (a decline of 6.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $57.98 million (Q4 2026), $58.39 million (Q3 2026) and $58.86 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.14 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 16.97 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 16.32 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 11.39 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 2.82 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 7.58 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.17 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.30 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 4.59 Bn |
| 10 | Butler National | 265.03 Mn | 132.92 Mn | 13.54 Mn | 57.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 57.80 Mn |
| Apr 30, 2026 | 57.98 Mn |
| Jan 31, 2026 | 58.39 Mn |
| Oct 31, 2025 | 58.86 Mn |
| Jul 31, 2025 | 59.76 Mn |
| Apr 30, 2025 | 60.26 Mn |
| Jan 31, 2025 | 60.14 Mn |
| Oct 31, 2024 | 60.30 Mn |
| Jul 31, 2024 | 58.94 Mn |
| Apr 30, 2024 | 59.59 Mn |
| Jan 31, 2024 | 59.39 Mn |
| Oct 31, 2023 | 60.14 Mn |
| Jul 31, 2023 | 58.34 Mn |
| Apr 30, 2023 | 59.07 Mn |
| Jan 31, 2023 | 61.62 Mn |
| Oct 31, 2022 | 62.06 Mn |
| Jul 31, 2022 | 62.39 Mn |
| Apr 30, 2022 | 58.85 Mn |
| Oct 31, 2021 | 57.58 Mn |
| Jul 31, 2021 | 56.67 Mn |
Butler National Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();