Louisiana-Pacific (LPX) Cash & Equivalents (2010 - 2026)
Louisiana-Pacific's Cash & Equivalents came in at $228 million for Q2 2026, down 31.5% from $333 million a year earlier but up 39.0% from the prior quarter.
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Analysis
Louisiana-Pacific (LPX) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Louisiana-Pacific's Cash & Equivalents was $292 million, down 14.1% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $340 million in FY2024 (+53.2%), $222 million in FY2023 (-39.8%), $369 million in FY2022 (+3.1%) and $358 million in FY2021 (-33.1%).
- The five-year range for quarterly Cash & Equivalents is $71 million (Q2 2023) to $624 million (Q1 2022).
- Year-over-year, Cash & Equivalents has declined for four consecutive quarters, with growth averaging 11.1% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2024 (growth of 346.5%), and the weakest in Q2 2023 (a decline of 85.9%).
- Business Quant data shows LPX's Cash & Equivalents at $164 million (Q1 2026), $292 million (Q4 2025) and $316 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 1.32 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 1.85 Bn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 1.34 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 813.00 Mn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 289.90 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 548.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 320.60 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 665.30 Mn |
| 10 | Louisiana-Pacific | 4.56 Bn | 3.56 Bn | 116.00 Mn | 228.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 228.00 Mn |
| Mar 31, 2026 | 164.00 Mn |
| Dec 31, 2025 | 292.00 Mn |
| Sep 30, 2025 | 316.00 Mn |
| Jun 30, 2025 | 333.00 Mn |
| Mar 31, 2025 | 256.00 Mn |
| Dec 31, 2024 | 340.00 Mn |
| Sep 30, 2024 | 346.00 Mn |
| Jun 30, 2024 | 317.00 Mn |
| Mar 31, 2024 | 244.00 Mn |
| Dec 31, 2023 | 222.00 Mn |
| Sep 30, 2023 | 160.00 Mn |
| Jun 30, 2023 | 71.00 Mn |
| Mar 31, 2023 | 126.00 Mn |
| Dec 31, 2022 | 369.00 Mn |
| Sep 30, 2022 | 469.00 Mn |
| Jun 30, 2022 | 503.00 Mn |
| Mar 31, 2022 | 624.00 Mn |
| Dec 31, 2021 | 358.00 Mn |
| Sep 30, 2021 | 607.00 Mn |
API Access
Louisiana-Pacific Cash & Equivalents 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=cash-and-equivalents&ticker=LPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();