Louisiana-Pacific (LPX) Tax Provisions (2010 - 2026)
Louisiana-Pacific (LPX) posted Tax Provisions of $8 million for Q2 2026, down 57.9% from $19 million a year earlier and down 11.1% from the prior quarter.
Louisiana-Pacific (LPX) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Louisiana-Pacific was $22 million, down 75.8% year-over-year; for FY2025, it was $50 million, down 64.3% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of -16.2% (FY2020 to FY2025).
- In prior years, Louisiana-Pacific's Tax Provisions was $140 million in FY2024 (+89.2%), $74 million in FY2023 (-73.0%), $274 million in FY2022 (-31.8%) and $402 million in FY2021 (+232.2%).
- Quarterly Tax Provisions has run from a low of -$10 million in Q4 2022 to a high of $124 million in Q1 2022 over five years.
- On a year-over-year basis, Tax Provisions increased in 1 of the last seven quarters, with an average decline of 20.7%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q4 2024, with growth of 187.5%; the weakest was Q1 2023, with a decline of 99.2%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $9 million (Q1 2026), -$4 million (Q4 2025) and $9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 218.20 Mn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 165.00 Mn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 124.64 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 180.00 Mn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 98.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 53.00 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 107.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 43.30 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 76.00 Mn |
| 10 | Louisiana-Pacific | 4.52 Bn | 3.52 Bn | 116.00 Mn | 8.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.00 Mn |
| Mar 31, 2026 | 9.00 Mn |
| Dec 31, 2025 | -4.00 Mn |
| Sep 30, 2025 | 9.00 Mn |
| Jun 30, 2025 | 19.00 Mn |
| Mar 31, 2025 | 26.00 Mn |
| Dec 31, 2024 | 23.00 Mn |
| Sep 30, 2024 | 23.00 Mn |
| Jun 30, 2024 | 53.00 Mn |
| Mar 31, 2024 | 41.00 Mn |
| Dec 31, 2023 | 8.00 Mn |
| Sep 30, 2023 | 44.00 Mn |
| Jun 30, 2023 | 21.00 Mn |
| Mar 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | -10.00 Mn |
| Sep 30, 2022 | 44.00 Mn |
| Jun 30, 2022 | 116.00 Mn |
| Mar 31, 2022 | 124.00 Mn |
| Dec 31, 2021 | 52.00 Mn |
| Sep 30, 2021 | 111.00 Mn |
Louisiana-Pacific Tax Provisions 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=tax-provisions&ticker=LPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();