Louisiana-Pacific (LPX) EPS (Diluted) (2010 - 2026)
Louisiana-Pacific's EPS (Diluted) came in at $0.37 for Q2 2026, down 51.9% from $0.77 a year earlier and down 3.7% from the prior quarter.
Louisiana-Pacific (LPX) EPS (Diluted) (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Louisiana-Pacific reported EPS (Diluted) of $0.77, down 81.8% year-over-year; for FY2025, it came in at $2.09, down 64.7% from FY2024.
- EPS (Diluted) carries a five-year compound annual growth rate of -14.1% (FY2020 to FY2025).
- Going back by year, EPS (Diluted) was $5.92 in FY2024 (+139.3%), $2.47 in FY2023 (-82.2%), $13.92 in FY2022 (-0.9%) and $14.05 in FY2021 (+215.4%).
- The five-year range for quarterly EPS (Diluted) is -$0.28 (Q2 2023) to $5.63 (Q1 2022).
- Year-over-year, EPS (Diluted) increased in 1 of the last seven quarters, with an average decline of 43.8%.
- The fastest year-over-year change in EPS (Diluted) over five years came in Q3 2023 (growth of 477.5%), and the weakest in Q1 2023 (a decline of 94.8%).
- Business Quant data shows LPX's EPS (Diluted) at $0.39 (Q1 2026), -$0.11 (Q4 2025) and $0.13 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 4.16 |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 1.23 |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 12.53 |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 0.60 |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 1.12 |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 0.18 |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 1.60 |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 2.15 |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 6.30 |
| 10 | Louisiana-Pacific | 4.60 Bn | 3.60 Bn | 116.00 Mn | 0.37 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.37 |
| Mar 31, 2026 | 0.39 |
| Dec 31, 2025 | -0.11 |
| Sep 30, 2025 | 0.13 |
| Jun 30, 2025 | 0.77 |
| Mar 31, 2025 | 1.30 |
| Dec 31, 2024 | 0.87 |
| Sep 30, 2024 | 1.27 |
| Jun 30, 2024 | 2.22 |
| Mar 31, 2024 | 1.50 |
| Dec 31, 2023 | 0.82 |
| Sep 30, 2023 | 1.64 |
| Jun 30, 2023 | -0.28 |
| Mar 31, 2023 | 0.29 |
| Dec 31, 2022 | -0.10 |
| Sep 30, 2022 | 0.28 |
| Jun 30, 2022 | 4.74 |
| Mar 31, 2022 | 5.63 |
| Dec 31, 2021 | 1.98 |
| Sep 30, 2021 | 3.88 |
Louisiana-Pacific EPS (Diluted) 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=eps-diluted&ticker=LPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();