James Hardie Industries (JHX) Dividends Paid - Common and Prefferd (2009 - 2022)
James Hardie Industries (JHX) posted Dividends Paid - Common and Prefferd of -$129.6 million for FY2023 (year ended Mar 31, 2023), compared with -$484 million in FY2022.
James Hardie Industries (JHX) Dividends Paid - Common and Prefferd (2009 - 2022) Analysis & Trends
Since FY2009, James Hardie Industries has reported Dividends Paid - Common and Prefferd for 12 fiscal years.
- The FY2023 figure stands as the highest annual Dividends Paid - Common and Prefferd since FY2018.
- Business Quant data shows JHX's Dividends Paid - Common and Prefferd at -$484 million in FY2022, -$158.6 million in FY2020 and -$172.1 million in FY2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 231.70 Mn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 245.00 Mn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 28.16 Mn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 199.00 Mn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 167.00 Mn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | - |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 64.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 46.60 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 44.40 Mn |
| 10 | Lennox International | 12.31 Bn | 12.11 Bn | 539.50 Mn | 45.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | -22.20 Mn |
| Dec 31, 2021 | -151.90 Mn |
| Jun 30, 2021 | -309.90 Mn |
| Mar 31, 2020 | -2.80 Mn |
| Dec 31, 2019 | -41.90 Mn |
| Jun 30, 2014 | -124.60 Mn |
| Mar 31, 2013 | -22.10 Mn |
| Dec 31, 2012 | -2.80 Mn |
| Mar 31, 2009 | -1.47 Mn |
James Hardie Industries Dividends Paid - Common and Prefferd 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=dividends-paid-common-and-prefferd&ticker=JHX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "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=dividends-paid-common-and-prefferd&ticker=JHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();