Louisiana-Pacific (LPX) Profit After Tax (2010 - 2026)
Louisiana-Pacific (LPX) reported Profit After Tax of $26 million for Q2 2026, down 51.9% from $54 million a year earlier and down 3.7% from the prior quarter.
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Analysis
Louisiana-Pacific (LPX) Profit After Tax (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Louisiana-Pacific's Profit After Tax came in at $54 million, down 81.8% year-over-year; for FY2025, it came in at $145 million, down 64.4% from FY2024.
- Profit After Tax has a five-year compound annual growth rate of -21.4% (FY2020 to FY2025).
- By year, Profit After Tax came in at $407 million in FY2024 (+133.9%), $174 million in FY2023 (-80.2%), $881 million in FY2022 (-32.1%) and $1.3 billion in FY2021 (+168.7%).
- Five-year quarterly Profit After Tax spans a low of -$22 million in Q2 2023 and a high of $420 million in Q1 2022.
- Year over year, Profit After Tax gained in 1 of the last seven quarters, with an average decline of 43.6%.
- The high point for year-over-year Profit After Tax in five years was Q1 2024 (growth of 386.4%); the low point was Q1 2023 (a decline of 94.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $27 million (Q1 2026), -$8 million (Q4 2025) and $9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 944.90 Mn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 752.00 Mn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 441.60 Mn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 541.00 Mn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 449.00 Mn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 104.30 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 333.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 184.60 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 257.70 Mn |
| 10 | Louisiana-Pacific | 4.56 Bn | 3.56 Bn | 116.00 Mn | 26.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.00 Mn |
| Mar 31, 2026 | 27.00 Mn |
| Dec 31, 2025 | -8.00 Mn |
| Sep 30, 2025 | 9.00 Mn |
| Jun 30, 2025 | 54.00 Mn |
| Mar 31, 2025 | 90.00 Mn |
| Dec 31, 2024 | 62.00 Mn |
| Sep 30, 2024 | 90.00 Mn |
| Jun 30, 2024 | 148.00 Mn |
| Mar 31, 2024 | 107.00 Mn |
| Dec 31, 2023 | 57.00 Mn |
| Sep 30, 2023 | 116.00 Mn |
| Jun 30, 2023 | -22.00 Mn |
| Mar 31, 2023 | 22.00 Mn |
| Dec 31, 2022 | -13.00 Mn |
| Sep 30, 2022 | 128.00 Mn |
| Jun 30, 2022 | 347.00 Mn |
| Mar 31, 2022 | 420.00 Mn |
| Dec 31, 2021 | 166.00 Mn |
| Sep 30, 2021 | 331.00 Mn |
API Access
Louisiana-Pacific Profit After Tax 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=profit-after-tax&ticker=LPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();