James Hardie Industries (JHX) Operating Expenses (2009 - 2026)
James Hardie Industries' Operating Expenses came in at $327.4 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 65.7% from $197.6 million a year earlier but down 39.0% from the prior quarter.
James Hardie Industries (JHX) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, James Hardie Industries reported Operating Expenses of $1.5 billion, up 105.7% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $1.21 billion, up 74.7% from FY2025.
- Going back by fiscal year, Operating Expenses was $695 million in FY2025 (+3.8%), $669.3 million in FY2024, -$533.6 million in FY2023 and -$499.2 million in FY2022.
- The five-year range for quarterly Operating Expenses is -$924.3 million (fiscal Q4 2023) to $536.9 million (fiscal Q4 2026).
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with growth averaging 58.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2026 (growth of 241.5%), and the weakest in fiscal Q4 2025 (a decline of 12.0%).
- Business Quant data shows JHX's Operating Expenses at $536.9 million (Q4 2026), $242.3 million (Q3 2026) and $396.9 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn | 210.70 Mn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn | 262.80 Mn |
| 10 | Lennox International | 12.61 Bn | 12.42 Bn | 539.50 Mn | 183.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 327.40 Mn |
| Mar 31, 2026 | 323.80 Mn |
| Dec 31, 2025 | 295.70 Mn |
| Sep 30, 2025 | 396.90 Mn |
| Jun 30, 2025 | 197.60 Mn |
| Mar 31, 2025 | 157.20 Mn |
| Dec 31, 2024 | 156.20 Mn |
| Sep 30, 2024 | 220.00 Mn |
| Jun 30, 2024 | 161.60 Mn |
| Mar 31, 2024 | 178.70 Mn |
| Dec 31, 2023 | 167.00 Mn |
| Sep 30, 2023 | 184.00 Mn |
| Jun 30, 2023 | 139.60 Mn |
| Mar 31, 2023 | 142.90 Mn |
| Dec 31, 2022 | 124.50 Mn |
| Sep 30, 2022 | 135.20 Mn |
| Jun 30, 2022 | 131.00 Mn |
| Mar 31, 2022 | 129.40 Mn |
| Dec 31, 2021 | 118.70 Mn |
| Sep 30, 2021 | 123.50 Mn |
James Hardie Industries Operating Expenses 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=operating-expenses&ticker=JHX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=JHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();