Louisiana-Pacific (LPX) EBITDA (2010 - 2026)
Louisiana-Pacific (LPX) recorded EBITDA of $70 million in Q2 2026, down 39.7% from $116 million a year earlier and down 2.8% from the prior quarter.
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Analysis
Louisiana-Pacific (LPX) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Louisiana-Pacific's EBITDA came in at $226 million as of Jun 30, 2026, down 57.0% year-over-year; for FY2025, it was $354 million, down 46.0% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of -13.3% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $656 million in FY2024 (+61.6%), $406 million in FY2023 (-70.6%), $1.38 billion in FY2022 (-25.4%) and $1.85 billion in FY2021 (+156.6%).
- Quarterly EBITDA has ranged from $30 million in Q4 2025 to $588 million in Q1 2022 over the past five years.
- On a year-over-year basis, EBITDA has declined for eight consecutive quarters, with an average decline of 40.4% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 508.1% in Q2 2024, against a decline of 92.5% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $72 million (Q1 2026), $30 million (Q4 2025) and $54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 601.28 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 1.14 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 290.40 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 401.20 Mn |
| 10 | Louisiana-Pacific | 4.60 Bn | 3.60 Bn | 116.00 Mn | 70.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.00 Mn |
| Mar 31, 2026 | 72.00 Mn |
| Dec 31, 2025 | 30.00 Mn |
| Sep 30, 2025 | 54.00 Mn |
| Jun 30, 2025 | 116.00 Mn |
| Mar 31, 2025 | 155.00 Mn |
| Dec 31, 2024 | 108.00 Mn |
| Sep 30, 2024 | 147.00 Mn |
| Jun 30, 2024 | 225.00 Mn |
| Mar 31, 2024 | 176.00 Mn |
| Dec 31, 2023 | 121.00 Mn |
| Sep 30, 2023 | 191.00 Mn |
| Jun 30, 2023 | 37.00 Mn |
| Mar 31, 2023 | 58.00 Mn |
| Dec 31, 2022 | 92.00 Mn |
| Sep 30, 2022 | 206.00 Mn |
| Jun 30, 2022 | 495.00 Mn |
| Mar 31, 2022 | 588.00 Mn |
| Dec 31, 2021 | 258.00 Mn |
| Sep 30, 2021 | 478.00 Mn |
API Access
Louisiana-Pacific EBITDA 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=ebitda&ticker=LPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();