Louisiana-Pacific (LPX) Operating Expenses (2010 - 2026)
Louisiana-Pacific (LPX) recorded Operating Expenses of $80 million in Q2 2026, up 1.3% from $79 million a year earlier and up 2.6% from the prior quarter.
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Analysis
Louisiana-Pacific (LPX) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Louisiana-Pacific's Operating Expenses came in at $332 million as of Jun 30, 2026, up 8.9% year-over-year; for FY2025, it came in at $329 million, up 13.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $291 million in FY2024 (+13.2%), $257 million in FY2023 (-2.7%), $264 million in FY2022 (+18.4%) and $223 million in FY2021 (+14.4%).
- Quarterly Operating Expenses has ranged from $58 million in Q3 2021 to $95 million in Q3 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for ten consecutive quarters, with growth averaging 12.5% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 78.9% in Q4 2021, against a decline of 13.4% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $78 million (Q1 2026), $79 million (Q4 2025) and $95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Louisiana-Pacific | 4.60 Bn | 3.60 Bn | 116.00 Mn | 80.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.00 Mn |
| Mar 31, 2026 | 78.00 Mn |
| Dec 31, 2025 | 79.00 Mn |
| Sep 30, 2025 | 95.00 Mn |
| Jun 30, 2025 | 79.00 Mn |
| Mar 31, 2025 | 75.00 Mn |
| Dec 31, 2024 | 76.00 Mn |
| Sep 30, 2024 | 75.00 Mn |
| Jun 30, 2024 | 71.00 Mn |
| Mar 31, 2024 | 69.00 Mn |
| Dec 31, 2023 | 66.00 Mn |
| Sep 30, 2023 | 58.00 Mn |
| Jun 30, 2023 | 66.00 Mn |
| Mar 31, 2023 | 66.00 Mn |
| Dec 31, 2022 | 68.00 Mn |
| Sep 30, 2022 | 67.00 Mn |
| Jun 30, 2022 | 67.00 Mn |
| Mar 31, 2022 | 62.00 Mn |
| Dec 31, 2021 | 68.00 Mn |
| Sep 30, 2021 | 58.00 Mn |
API Access
Louisiana-Pacific 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=LPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LPX", "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=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();