Louisiana-Pacific (LPX) Cost of Revenue (2010 - 2026)
Louisiana-Pacific (LPX) recorded Cost of Revenue of $549 million in Q2 2026, down 4.9% from $577 million a year earlier but up 19.6% from the prior quarter.
Powered by 
Analysis
Louisiana-Pacific (LPX) Cost of Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Louisiana-Pacific's Cost of Revenue came in at $2.02 billion as of Jun 30, 2026, down 5.9% year-over-year; for FY2025, it was $2.12 billion, up 0.4% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $2.11 billion in FY2024 (+6.1%), $1.99 billion in FY2023 (-15.6%), $2.36 billion in FY2022 (+20.6%) and $1.95 billion in FY2021 (+24.6%).
- Quarterly Cost of Revenue has ranged from $459 million in Q1 2026 to $620 million in Q3 2022 over the past five years.
- On a year-over-year basis, Cost of Revenue has declined for three consecutive quarters, with an average decline of 1.1% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 241.3% in Q4 2021, against a decline of 19.5% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $459 million (Q1 2026), $482 million (Q4 2025) and $534 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 4.09 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 4.14 Bn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 2.42 Bn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 4.41 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 2.72 Bn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 925.90 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 1.12 Bn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 634.00 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 1.00 Bn |
| 10 | Louisiana-Pacific | 4.56 Bn | 3.56 Bn | 116.00 Mn | 549.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 549.00 Mn |
| Mar 31, 2026 | 459.00 Mn |
| Dec 31, 2025 | 482.00 Mn |
| Sep 30, 2025 | 534.00 Mn |
| Jun 30, 2025 | 577.00 Mn |
| Mar 31, 2025 | 526.00 Mn |
| Dec 31, 2024 | 519.00 Mn |
| Sep 30, 2024 | 530.00 Mn |
| Jun 30, 2024 | 551.00 Mn |
| Mar 31, 2024 | 511.00 Mn |
| Dec 31, 2023 | 499.00 Mn |
| Sep 30, 2023 | 514.00 Mn |
| Jun 30, 2023 | 492.00 Mn |
| Mar 31, 2023 | 483.00 Mn |
| Dec 31, 2022 | 577.00 Mn |
| Sep 30, 2022 | 620.00 Mn |
| Jun 30, 2022 | 611.00 Mn |
| Mar 31, 2022 | 547.00 Mn |
| Dec 31, 2021 | 529.00 Mn |
| Sep 30, 2021 | 513.00 Mn |
API Access
Louisiana-Pacific Cost of Revenue 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=cost-of-revenue&ticker=LPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();