Louisiana-Pacific (LPX) Inventory (2010 - 2026)
Louisiana-Pacific's Inventory was $373 million in Q2 2026, up 0.8% from $370 million a year earlier but down 10.3% from the prior quarter.
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Analysis
Louisiana-Pacific (LPX) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Louisiana-Pacific came in at $363 million, up 1.7% from FY2024.
- Inventory shows a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In earlier years, Inventory was $357 million in FY2024 (-5.6%), $378 million in FY2023 (+12.2%), $337 million in FY2022 (+21.2%) and $278 million in FY2021 (+7.3%).
- Quarterly Inventory has moved between $278 million (Q4 2021) and $416 million (Q1 2026) over five years.
- Compared with a year earlier, Inventory has increased for three straight quarters, with an average decline of 0.7% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q3 2021 (growth of 34.5%); the worst was Q2 2024 (a decline of 8.4%).
- Per Business Quant data, LPX's Inventory in the three quarters before Q2 2026 was $416 million (Q1 2026), $363 million (Q4 2025) and $357 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 2.62 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 1.96 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 104.80 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 2.76 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 686.00 Mn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 612.10 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 1.06 Bn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 541.90 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 492.70 Mn |
| 10 | Louisiana-Pacific | 4.60 Bn | 3.60 Bn | 116.00 Mn | 373.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 373.00 Mn |
| Mar 31, 2026 | 416.00 Mn |
| Dec 31, 2025 | 363.00 Mn |
| Sep 30, 2025 | 357.00 Mn |
| Jun 30, 2025 | 370.00 Mn |
| Mar 31, 2025 | 399.00 Mn |
| Dec 31, 2024 | 357.00 Mn |
| Sep 30, 2024 | 372.00 Mn |
| Jun 30, 2024 | 373.00 Mn |
| Mar 31, 2024 | 398.00 Mn |
| Dec 31, 2023 | 378.00 Mn |
| Sep 30, 2023 | 379.00 Mn |
| Jun 30, 2023 | 407.00 Mn |
| Mar 31, 2023 | 415.00 Mn |
| Dec 31, 2022 | 337.00 Mn |
| Sep 30, 2022 | 337.00 Mn |
| Jun 30, 2022 | 309.00 Mn |
| Mar 31, 2022 | 382.00 Mn |
| Dec 31, 2021 | 278.00 Mn |
| Sep 30, 2021 | 320.00 Mn |
API Access
Louisiana-Pacific Inventory 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=inventory&ticker=LPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();