Louisiana-Pacific (LPX) Change in Accured Expenses (2010 - 2026)
Louisiana-Pacific's Change in Accured Expenses was $12 million in Q2 2026, up 50.0% from $8 million a year earlier.
Louisiana-Pacific (LPX) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Louisiana-Pacific's Change in Accured Expenses was -$27 million through Jun 30, 2026; for FY2025, it came in at -$2 million.
- In earlier years, Change in Accured Expenses was $23 million in FY2024, -$40 million in FY2023, $15 million in FY2022 (-67.4%) and $46 million in FY2021 (+53.3%).
- Quarterly Change in Accured Expenses has moved between -$66 million (Q1 2023) and $33 million (Q2 2022) over five years.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2026 (growth of 50.0%); the worst was Q3 2022 (a decline of 67.9%).
- Per Business Quant data, LPX's Change in Accured Expenses in the three quarters before Q2 2026 was -$33 million (Q1 2026), -$2 million (Q4 2025) and -$4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 701.00 Mn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 210.62 Mn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 280.00 Mn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 49.00 Mn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | -10.80 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 92.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | - |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | - |
| 10 | Louisiana-Pacific | 4.56 Bn | 3.56 Bn | 116.00 Mn | 12.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.00 Mn |
| Mar 31, 2026 | -33.00 Mn |
| Dec 31, 2025 | -2.00 Mn |
| Sep 30, 2025 | -4.00 Mn |
| Jun 30, 2025 | 8.00 Mn |
| Mar 31, 2025 | -4.00 Mn |
| Dec 31, 2024 | -5.00 Mn |
| Sep 30, 2024 | 12.00 Mn |
| Jun 30, 2024 | 16.00 Mn |
| Dec 31, 2023 | -4.00 Mn |
| Sep 30, 2023 | 9.00 Mn |
| Jun 30, 2023 | 21.00 Mn |
| Mar 31, 2023 | -66.00 Mn |
| Dec 31, 2022 | -25.00 Mn |
| Sep 30, 2022 | 9.00 Mn |
| Jun 30, 2022 | 33.00 Mn |
| Mar 31, 2022 | -2.00 Mn |
| Dec 31, 2021 | -18.00 Mn |
| Sep 30, 2021 | 28.00 Mn |
| Jun 30, 2021 | 39.00 Mn |
Louisiana-Pacific Change in Accured Expenses 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=change-in-accured-expenses&ticker=LPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();