Louisiana-Pacific (LPX) Cash from Operations (2010 - 2026)
Louisiana-Pacific (LPX) posted Cash from Operations of $140 million for Q2 2026, down 13.6% from $162 million a year earlier.
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Analysis
Louisiana-Pacific (LPX) Cash from Operations (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Louisiana-Pacific was $258 million, down 49.8% year-over-year; for FY2025, it came in at $382 million, down 36.9% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of -10.3% (FY2020 to FY2025).
- In prior years, Louisiana-Pacific's Cash from Operations was $605 million in FY2024 (+91.5%), $316 million in FY2023 (-72.4%), $1.14 billion in FY2022 (-22.9%) and $1.48 billion in FY2021 (+125.2%).
- Quarterly Cash from Operations has run from a low of -$119 million in Q1 2023 to a high of $511 million in Q3 2021 over five years.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q4 2023, with growth of 287.8%; the weakest was Q2 2023, with a decline of 81.6%.
- According to Business Quant data, Cash from Operations for the three prior quarters was -$38 million (Q1 2026), $67 million (Q4 2025) and $89 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.10 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 1.29 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 1.14 Bn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 927.00 Mn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 267.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 344.00 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 496.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 198.40 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 241.80 Mn |
| 10 | Louisiana-Pacific | 4.52 Bn | 3.52 Bn | 116.00 Mn | 140.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140.00 Mn |
| Mar 31, 2026 | -38.00 Mn |
| Dec 31, 2025 | 67.00 Mn |
| Sep 30, 2025 | 89.00 Mn |
| Jun 30, 2025 | 162.00 Mn |
| Mar 31, 2025 | 64.00 Mn |
| Dec 31, 2024 | 105.00 Mn |
| Sep 30, 2024 | 183.00 Mn |
| Jun 30, 2024 | 212.00 Mn |
| Mar 31, 2024 | 105.00 Mn |
| Dec 31, 2023 | 159.00 Mn |
| Sep 30, 2023 | 187.00 Mn |
| Jun 30, 2023 | 89.00 Mn |
| Mar 31, 2023 | -119.00 Mn |
| Dec 31, 2022 | 41.00 Mn |
| Sep 30, 2022 | 195.00 Mn |
| Jun 30, 2022 | 483.00 Mn |
| Mar 31, 2022 | 425.00 Mn |
| Dec 31, 2021 | 201.00 Mn |
| Sep 30, 2021 | 511.00 Mn |
API Access
Louisiana-Pacific Cash from Operations 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-from-operations&ticker=LPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();