Louisiana-Pacific (LPX) Retained Earnings (2010 - 2026)
Louisiana-Pacific's Retained Earnings was $1.63 billion in Q2 2026, down 1.6% from $1.66 billion a year earlier but up 0.4% from the prior quarter.
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Analysis
Louisiana-Pacific (LPX) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Louisiana-Pacific came in at $1.62 billion, up 0.4% from FY2024.
- Retained Earnings has now increased for six consecutive years, with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $1.62 billion in FY2024 (+9.2%), $1.48 billion in FY2023 (+7.9%), $1.37 billion in FY2022 (+10.7%) and $1.24 billion in FY2021 (+2.7%).
- Quarterly Retained Earnings has moved between $1.24 billion (Q4 2021) and $1.66 billion (Q2 2025) over five years.
- Compared with a year earlier, Retained Earnings was higher in seven of the last eight quarters, with growth averaging 3.9%.
- The best year-over-year quarter for Retained Earnings over five years was Q3 2021 (growth of 20.9%); the worst was Q1 2023 (a decline of 14.1%).
- Per Business Quant data, LPX's Retained Earnings in the three quarters before Q2 2026 was $1.63 billion (Q1 2026), $1.62 billion (Q4 2025) and $1.65 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 10.53 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | - |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 3.34 Bn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 12.54 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | -117.00 Mn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 1.93 Bn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | -849.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 2.35 Bn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 7.63 Bn |
| 10 | Louisiana-Pacific | 4.60 Bn | 3.60 Bn | 116.00 Mn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.63 Bn |
| Mar 31, 2026 | 1.63 Bn |
| Dec 31, 2025 | 1.62 Bn |
| Sep 30, 2025 | 1.65 Bn |
| Jun 30, 2025 | 1.66 Bn |
| Mar 31, 2025 | 1.63 Bn |
| Dec 31, 2024 | 1.62 Bn |
| Sep 30, 2024 | 1.59 Bn |
| Jun 30, 2024 | 1.60 Bn |
| Mar 31, 2024 | 1.56 Bn |
| Dec 31, 2023 | 1.48 Bn |
| Sep 30, 2023 | 1.44 Bn |
| Jun 30, 2023 | 1.34 Bn |
| Mar 31, 2023 | 1.38 Bn |
| Dec 31, 2022 | 1.37 Bn |
| Sep 30, 2022 | 1.40 Bn |
| Jun 30, 2022 | 1.51 Bn |
| Mar 31, 2022 | 1.60 Bn |
| Dec 31, 2021 | 1.24 Bn |
| Sep 30, 2021 | 1.37 Bn |
API Access
Louisiana-Pacific Retained Earnings 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=retained-earnings&ticker=LPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();