Butler National (BUKS) Buildings (2020 - 2023)
Butler National (BUKS) reported Buildings of $47.81 million for fiscal Q3 2023 (quarter ended Jan 31, 2023), unchanged from the prior quarter.
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Analysis
Butler National (BUKS) Buildings (2020 - 2023) Analysis & Trends
At the end of FY2022 (ended Apr 30, 2022), Butler National posted Buildings of $40.96 million, up 3.1% from FY2021.
- By fiscal year, Buildings came in at $39.75 million in FY2021 (+894.7%) and $4 million in FY2020.
- The fiscal Q3 2023 figure ranks as the highest quarterly Buildings in data going back to fiscal Q4 2020.
- Per Business Quant data, the three fiscal quarters before Q3 2023 came in at $47.79 million (Q2 2023), $47.77 million (Q1 2023) and $40.96 million (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Butler National | 257.37 Mn | 125.26 Mn | 13.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2023 | 47.81 Mn |
| Oct 31, 2022 | 47.79 Mn |
| Jul 31, 2022 | 47.77 Mn |
| Apr 30, 2022 | 40.96 Mn |
| Oct 31, 2021 | 39.76 Mn |
| Jul 31, 2021 | 39.76 Mn |
| Apr 30, 2021 | 39.75 Mn |
| Jan 31, 2021 | 39.75 Mn |
| Apr 30, 2020 | 4.00 Mn |
API Access
Butler National Buildings 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=buildings&ticker=BUKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();