James Hardie Industries (JHX) Land & Improvements (2020 - 2023)
James Hardie Industries (JHX) recorded Land & Improvements of $79.8 million in fiscal Q4 2023 (quarter ended Mar 31, 2023), down 4.5% from $83.6 million a year earlier.
James Hardie Industries (JHX) Land & Improvements (2020 - 2023) Analysis & Trends
Starting with fiscal Q4 2020, James Hardie Industries' Land & Improvements history includes 4 quarters.
- Annual Land & Improvements has a three-year compound annual growth rate of 0.3% (FY2020 to FY2023).
- Across earlier fiscal years, Land & Improvements came in at $83.6 million in FY2022 (-1.9%), $85.2 million in FY2021 (+7.8%) and $79 million in FY2020.
- The fiscal Q4 2023 figure is the lowest quarterly Land & Improvements since fiscal Q4 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | - |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | - |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | - |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | - |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | - |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | - |
| 10 | Lennox International | 12.27 Bn | 12.07 Bn | 539.50 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 79.80 Mn |
| Mar 31, 2022 | 83.60 Mn |
| Mar 31, 2021 | 85.20 Mn |
| Mar 31, 2020 | 79.00 Mn |
James Hardie Industries 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=JHX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "JHX", "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=JHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();