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 | 334.86 Bn | 293.38 Bn | 5.02 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn |
| 10 | Butler National | 308.45 Mn | 176.34 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 |
| Jan 31, 2022 | 39.76 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();