Butler National (BUKS) Inventory (2011 - 2026)
Butler National's Inventory was $13.74 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 30.6% from $10.53 million a year earlier and up 4.8% from the prior quarter.
Butler National (BUKS) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Inventory at Butler National came in at $13.12 million, up 20.1% from FY2025.
- Inventory has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 8.9% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $10.92 million in FY2025 (+14.7%), $9.52 million in FY2024 (+6.4%), $8.95 million in FY2023 (+0.8%) and $8.87 million in FY2022 (+3.5%).
- The fiscal Q1 2027 figure marks the highest quarterly Inventory in data going back to fiscal Q4 2011.
- Compared with a year earlier, Inventory has increased for six straight quarters, with growth averaging 14.1% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q1 2027 (growth of 30.6%); the worst was fiscal Q2 2022 (a decline of 11.0%).
- Per Business Quant data, BUKS's Inventory in the three fiscal quarters before Q1 2027 was $13.12 million (Q4 2026), $12.1 million (Q3 2026) and $11.47 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 12.44 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 14.41 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 88.39 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 4.41 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 2.18 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 9.10 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 1.33 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.42 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 6.40 Bn |
| 10 | Butler National | 257.37 Mn | 125.26 Mn | 13.54 Mn | 13.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 13.74 Mn |
| Apr 30, 2026 | 13.12 Mn |
| Jan 31, 2026 | 12.10 Mn |
| Oct 31, 2025 | 11.47 Mn |
| Jul 31, 2025 | 10.53 Mn |
| Apr 30, 2025 | 10.92 Mn |
| Jan 31, 2025 | 10.37 Mn |
| Oct 31, 2024 | 10.45 Mn |
| Jul 31, 2024 | 9.63 Mn |
| Apr 30, 2024 | 9.52 Mn |
| Jan 31, 2024 | 10.54 Mn |
| Oct 31, 2023 | 9.24 Mn |
| Jul 31, 2023 | 9.05 Mn |
| Apr 30, 2023 | 8.95 Mn |
| Jan 31, 2023 | 9.38 Mn |
| Oct 31, 2022 | 9.30 Mn |
| Jul 31, 2022 | 9.32 Mn |
| Apr 30, 2022 | 8.87 Mn |
| Oct 31, 2021 | 8.46 Mn |
| Jul 31, 2021 | 8.46 Mn |
Butler National Inventory 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=inventory&ticker=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();