Louisiana-Pacific (LPX) Revenue (2010 - 2026)
Louisiana-Pacific (LPX) reported Revenue of $664 million for Q2 2026, down 12.1% from $755 million a year earlier but up 15.7% from the prior quarter.
Louisiana-Pacific (LPX) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Louisiana-Pacific's Revenue came in at $2.47 billion, down 14.3% year-over-year; for FY2025, it was $2.71 billion, down 7.9% from FY2024.
- Revenue has a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- By year, Revenue came in at $2.94 billion in FY2024 (+13.9%), $2.58 billion in FY2023 (-33.0%), $3.85 billion in FY2022 (-1.6%) and $3.92 billion in FY2021 (+63.2%).
- Five-year quarterly Revenue spans a low of $567 million in Q4 2025 and a high of $1.17 billion in Q1 2022.
- Year over year, Revenue has now declined in each of the last five quarters, with an average decline of 7.8% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q4 2021 (growth of 77.3%); the low point was Q1 2023 (a decline of 50.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $574 million (Q1 2026), $567 million (Q4 2025) and $663 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 6.35 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 6.61 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 3.27 Bn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 6.35 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 3.86 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 1.47 Bn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 1.99 Bn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 1.15 Bn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 1.57 Bn |
| 10 | Louisiana-Pacific | 4.60 Bn | 3.60 Bn | 116.00 Mn | 664.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 664.00 Mn |
| Mar 31, 2026 | 574.00 Mn |
| Dec 31, 2025 | 567.00 Mn |
| Sep 30, 2025 | 663.00 Mn |
| Jun 30, 2025 | 755.00 Mn |
| Mar 31, 2025 | 724.00 Mn |
| Dec 31, 2024 | 680.00 Mn |
| Sep 30, 2024 | 722.00 Mn |
| Jun 30, 2024 | 814.00 Mn |
| Mar 31, 2024 | 724.00 Mn |
| Dec 31, 2023 | 658.00 Mn |
| Sep 30, 2023 | 728.00 Mn |
| Jun 30, 2023 | 611.00 Mn |
| Mar 31, 2023 | 584.00 Mn |
| Dec 31, 2022 | 705.00 Mn |
| Sep 30, 2022 | 852.00 Mn |
| Jun 30, 2022 | 1.13 Bn |
| Mar 31, 2022 | 1.17 Bn |
| Dec 31, 2021 | 835.00 Mn |
| Sep 30, 2021 | 1.02 Bn |
Louisiana-Pacific 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=revenue&ticker=LPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();