Louisiana-Pacific (LPX) Total Non-Current Liabilities (2010 - 2026)
Louisiana-Pacific (LPX) reported Total Non-Current Liabilities of $830 million for Q2 2026, down 8.8% from $910 million a year earlier but up 1.5% from the prior quarter.
Louisiana-Pacific (LPX) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Louisiana-Pacific posted Total Non-Current Liabilities of $863 million, up 2.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $842 million in FY2024 (+2.8%), $819 million in FY2023 (-5.2%), $864 million in FY2022 (-3.6%) and $896 million in FY2021 (+17.0%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $753 million in Q1 2023 and a high of $999 million in Q2 2022.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 1.7%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2021 (growth of 29.7%); the low point was Q1 2023 (a decline of 22.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $818 million (Q1 2026), $863 million (Q4 2025) and $855 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 13.62 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 13.96 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 5.10 Bn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 21.79 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 16.58 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 6.88 Bn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 5.38 Bn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 2.81 Bn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 4.36 Bn |
| 10 | Louisiana-Pacific | 4.60 Bn | 3.60 Bn | 116.00 Mn | 830.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 830.00 Mn |
| Mar 31, 2026 | 818.00 Mn |
| Dec 31, 2025 | 863.00 Mn |
| Sep 30, 2025 | 855.00 Mn |
| Jun 30, 2025 | 910.00 Mn |
| Mar 31, 2025 | 873.00 Mn |
| Dec 31, 2024 | 842.00 Mn |
| Sep 30, 2024 | 905.00 Mn |
| Jun 30, 2024 | 814.00 Mn |
| Mar 31, 2024 | 813.00 Mn |
| Dec 31, 2023 | 819.00 Mn |
| Sep 30, 2023 | 825.00 Mn |
| Jun 30, 2023 | 829.00 Mn |
| Mar 31, 2023 | 753.00 Mn |
| Dec 31, 2022 | 864.00 Mn |
| Sep 30, 2022 | 864.00 Mn |
| Jun 30, 2022 | 999.00 Mn |
| Mar 31, 2022 | 977.00 Mn |
| Dec 31, 2021 | 896.00 Mn |
| Sep 30, 2021 | 917.00 Mn |
Louisiana-Pacific Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=LPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();