James Hardie Industries (JHX) Accumulated Expenses (2009 - 2026)
James Hardie Industries' Accumulated Expenses came in at $138.3 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), down 23.8% from $181.6 million a year earlier but up 10.9% from the prior quarter.
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Analysis
James Hardie Industries (JHX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), James Hardie Industries' Accumulated Expenses was $150 million, up 12.5% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of 5.9% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $133.3 million in FY2025 (-7.0%), $143.3 million in FY2024 (+32.3%), $108.3 million in FY2023 (-7.1%) and $116.6 million in FY2022 (+3.6%).
- The five-year range for quarterly Accumulated Expenses is $82 million (fiscal Q1 2024) to $181.6 million (fiscal Q2 2026).
- Year-over-year, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 15.4%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q2 2026 (growth of 72.1%), and the weakest in fiscal Q2 2027 (a decline of 23.8%).
- Business Quant data shows JHX's Accumulated Expenses at $124.7 million (Q1 2027), $150 million (Q4 2026) and $150.7 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 91.50 Bn | 86.14 Bn | 2.38 Bn |
| 2 | Johnson Controls International | 83.63 Bn | 81.11 Bn | 2.71 Bn |
| 3 | Carrier Global | 44.36 Bn | 39.10 Bn | 1.90 Bn |
| 4 | Comfort Systems Usa | 38.92 Bn | 32.88 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 29.51 Bn | 26.06 Bn | 1.16 Bn |
| 6 | Masco | 16.33 Bn | 14.40 Bn | 720.00 Mn |
| 7 | Allegion | 16.19 Bn | 14.81 Bn | 548.20 Mn |
| 8 | James Hardie Industries | 16.17 Bn | 15.36 Bn | 562.40 Mn |
| 9 | Carlisle Companies | 15.38 Bn | 12.28 Bn | 494.90 Mn |
| 10 | Madison Air Solutions | 12.50 Bn | 9.16 Bn | 422.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 138.30 Mn |
| Jun 30, 2026 | 124.70 Mn |
| Mar 31, 2026 | 150.00 Mn |
| Dec 31, 2025 | 150.70 Mn |
| Sep 30, 2025 | 181.60 Mn |
| Jun 30, 2025 | 88.60 Mn |
| Mar 31, 2025 | 133.30 Mn |
| Dec 31, 2024 | 108.50 Mn |
| Sep 30, 2024 | 105.50 Mn |
| Jun 30, 2024 | 87.80 Mn |
| Mar 31, 2024 | 143.30 Mn |
| Dec 31, 2023 | 122.70 Mn |
| Sep 30, 2023 | 106.60 Mn |
| Jun 30, 2023 | 82.00 Mn |
| Mar 31, 2023 | 108.30 Mn |
| Dec 31, 2022 | 91.20 Mn |
| Sep 30, 2022 | 96.40 Mn |
| Jun 30, 2022 | 82.50 Mn |
| Mar 31, 2022 | 116.60 Mn |
| Dec 31, 2021 | 94.00 Mn |
API Access
James Hardie Industries Accumulated 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=accumulated-expenses&ticker=JHX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=JHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();