Louisiana-Pacific (LPX) Gross Margin (2010 - 2026)
Louisiana-Pacific's Gross Margin came in at 17.47% for Q2 2026, down 6.11 percentage points from 23.58% a year earlier and down 2.56 percentage points from the prior quarter.
Louisiana-Pacific (LPX) Gross Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Louisiana-Pacific reported Gross Margin of 18.03%, down 7.34 percentage points year-over-year; for FY2025, it was 21.75%, down 6.54 percentage points from FY2024.
- Gross Margin carries a five-year change of -12.97 percentage points (FY2020 to FY2025).
- Going back by year, Gross Margin was 28.29% in FY2024 (+5.31 pp), 22.98% in FY2023 (-15.89 pp), 38.87% in FY2022 (-11.27 pp) and 50.14% in FY2021 (+15.42 pp).
- The five-year range for quarterly Gross Margin is 14.99% (Q4 2025) to 53.13% (Q1 2022).
- Year-over-year, Gross Margin has declined for eight consecutive quarters, with an average year-over-year change of -5.43 percentage points over the last eight quarters.
- The fastest year-over-year change in Gross Margin over five years came in Q3 2021 (a gain of 12.88 percentage points), and the weakest in Q1 2023 (a drop of 35.83 percentage points).
- Business Quant data shows LPX's Gross Margin at 20.03% (Q1 2026), 14.99% (Q4 2025) and 19.46% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 35.57% |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 37.41% |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 25.85% |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 30.59% |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 29.52% |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 37.21% |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 43.57% |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 44.94% |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 36.20% |
| 10 | Louisiana-Pacific | 4.52 Bn | 3.52 Bn | 116.00 Mn | 17.47% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.47% |
| Mar 31, 2026 | 20.03% |
| Dec 31, 2025 | 14.99% |
| Sep 30, 2025 | 19.46% |
| Jun 30, 2025 | 23.58% |
| Mar 31, 2025 | 27.21% |
| Dec 31, 2024 | 23.97% |
| Sep 30, 2024 | 26.73% |
| Jun 30, 2024 | 32.31% |
| Mar 31, 2024 | 29.56% |
| Dec 31, 2023 | 24.16% |
| Sep 30, 2023 | 29.40% |
| Jun 30, 2023 | 19.48% |
| Mar 31, 2023 | 17.29% |
| Dec 31, 2022 | 18.16% |
| Sep 30, 2022 | 27.23% |
| Jun 30, 2022 | 45.84% |
| Mar 31, 2022 | 53.13% |
| Dec 31, 2021 | 36.65% |
| Sep 30, 2021 | 49.61% |
Louisiana-Pacific Gross Margin 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=gross-margin&ticker=LPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();