Louisiana-Pacific (LPX) Enterprise Value (2010 - 2026)
Louisiana-Pacific's Enterprise Value was $5.28 billion in Q2 2026, down 7.2% from $5.69 billion a year earlier but up 7.1% from the prior quarter.
Louisiana-Pacific (LPX) Enterprise Value (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Louisiana-Pacific's Enterprise Value was $4.51 billion through Jun 30, 2026, down 5.0% year-over-year; for FY2025, it came in at $5.36 billion, down 22.4% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $6.91 billion in FY2024 (+41.6%), $4.88 billion in FY2023 (+25.8%), $3.88 billion in FY2022 (-39.0%) and $6.36 billion in FY2021 (+85.6%).
- Quarterly Enterprise Value has moved between $3.2 billion (Q3 2022) and $7.18 billion (Q3 2024) over five years.
- Compared with a year earlier, Enterprise Value has declined for four straight quarters, with growth averaging 8.9% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q3 2024 (growth of 87.6%); the worst was Q4 2022 (a decline of 39.0%).
- Per Business Quant data, LPX's Enterprise Value in the three quarters before Q2 2026 was $4.93 billion (Q1 2026), $5.36 billion (Q4 2025) and $5.9 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | Louisiana-Pacific | 4.52 Bn | 3.52 Bn | 116.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.28 Bn |
| Mar 31, 2026 | 4.93 Bn |
| Dec 31, 2025 | 5.36 Bn |
| Sep 30, 2025 | 5.90 Bn |
| Jun 30, 2025 | 5.69 Bn |
| Mar 31, 2025 | 6.18 Bn |
| Dec 31, 2024 | 6.91 Bn |
| Sep 30, 2024 | 7.18 Bn |
| Jun 30, 2024 | 5.53 Bn |
| Mar 31, 2024 | 5.80 Bn |
| Dec 31, 2023 | 4.88 Bn |
| Sep 30, 2023 | 3.83 Bn |
| Jun 30, 2023 | 5.34 Bn |
| Mar 31, 2023 | 3.78 Bn |
| Dec 31, 2022 | 3.88 Bn |
| Sep 30, 2022 | 3.20 Bn |
| Jun 30, 2022 | 3.55 Bn |
| Mar 31, 2022 | 4.63 Bn |
| Dec 31, 2021 | 6.36 Bn |
| Sep 30, 2021 | 4.94 Bn |
Louisiana-Pacific Enterprise Value 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=enterprise-value&ticker=LPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();