Taylor Devices (TAYD) Land & Improvements (2016 - 2022)
Taylor Devices' Land & Improvements came in at $483,929 for fiscal Q4 2022 (quarter ended May 31, 2022), up 1.6% from $476,429 a year earlier.
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Analysis
Taylor Devices (TAYD) Land & Improvements (2016 - 2022) Analysis & Trends
Going back to fiscal Q4 2016, Taylor Devices' Land & Improvements data covers 7 quarters.
- Land & Improvements carries a five-year compound annual growth rate of 2.9% (FY2017 to FY2022).
- Going back by fiscal year, Land & Improvements was $476,429 in FY2021 (+4.6%), $455,429 in FY2020 (unchanged), $455,429 in FY2019 (unchanged) and $455,429 in FY2018 (+8.6%).
Peer Set
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 | Taylor Devices | 193.43 Mn | 33.19 Mn | 3.96 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2022 | 483,929.00 |
| May 31, 2021 | 476,429.00 |
| May 31, 2020 | 455,429.00 |
| May 31, 2019 | 455,429.00 |
| May 31, 2018 | 455,429.00 |
| May 31, 2017 | 419,429.00 |
| May 31, 2016 | 402,022.00 |
API Access
Taylor Devices 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=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "TAYD", "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=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();