Butler National (BUKS) Land & Improvements (2011 - 2023)
Butler National (BUKS) reported Land & Improvements of $4.75 million for fiscal Q3 2023 (quarter ended Jan 31, 2023), unchanged from the prior quarter.
Butler National (BUKS) Land & Improvements (2011 - 2023) Analysis & Trends
Dating back to fiscal Q4 2011, Butler National's Land & Improvements record includes 47 quarters.
- Land & Improvements has a five-year compound annual growth rate of -1.5% (FY2017 to FY2022).
- By fiscal year, Land & Improvements came in at $4.75 million in FY2021 (+162.6%), $1.81 million in FY2020 (-68.6%), $5.77 million in FY2019 (-0.2%) and $5.78 million in FY2018 (+12.6%).
- Five-year quarterly Land & Improvements spans a low of $1.81 million in fiscal Q4 2020 and a high of $6.92 million in fiscal Q3 2019.
- Year over year, Land & Improvements gained in 1 of the last six quarters, with growth averaging 20.9%.
- The high point for year-over-year Land & Improvements in five years was fiscal Q4 2021 (growth of 162.6%); the low point was fiscal Q4 2020 (a decline of 68.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2023 came in at $4.75 million (Q2 2023), $4.75 million (Q1 2023) and $4.75 million (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 5.00 Mn |
| 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
| Date | Value |
|---|---|
| Jan 31, 2023 | 4.75 Mn |
| Oct 31, 2022 | 4.75 Mn |
| Jul 31, 2022 | 4.75 Mn |
| Apr 30, 2022 | 4.75 Mn |
| Oct 31, 2021 | 4.75 Mn |
| Jul 31, 2021 | 4.75 Mn |
| Apr 30, 2021 | 4.75 Mn |
| Jan 31, 2021 | 4.75 Mn |
| Oct 31, 2020 | 5.88 Mn |
| Jul 31, 2020 | 5.81 Mn |
| Apr 30, 2020 | 1.81 Mn |
| Jan 31, 2020 | 5.77 Mn |
| Oct 31, 2019 | 5.77 Mn |
| Jul 31, 2019 | 5.77 Mn |
| Apr 30, 2019 | 5.77 Mn |
| Jan 31, 2019 | 6.92 Mn |
| Oct 31, 2018 | 5.27 Mn |
| Jul 30, 2018 | 5.23 Mn |
| Apr 30, 2018 | 5.78 Mn |
| Jan 31, 2018 | 5.20 Mn |
Butler National Land & Improvements 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=land-and-improvements&ticker=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();