Louisiana-Pacific (LPX) Shares Outstanding (Entity) (2010 - 2026)
Louisiana-Pacific (LPX) posted Shares Outstanding (Entity) of 70 million for Q2 2026, unchanged from 70 million a year earlier and unchanged from the prior quarter.
Louisiana-Pacific (LPX) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
Since Q1 2010, Louisiana-Pacific has reported Shares Outstanding (Entity) for 66 quarters.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of -8.0% (FY2020 to FY2025).
- In prior years, Louisiana-Pacific's Shares Outstanding (Entity) was 70 million in FY2024 (-2.8%), 72 million in FY2023 (+0.4%), 71.75 million in FY2022 (-16.2%) and 85.64 million in FY2021 (-19.4%).
- Quarterly Shares Outstanding (Entity) has run from a low of 70 million in Q3 2024 to a high of 90.22 million in Q3 2021 over five years.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q3 2023, with growth of 0.6%; the weakest was Q3 2022, with a decline of 20.5%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 70 million (Q1 2026), 70 million (Q4 2025) and 70 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 220.02 Mn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 605.74 Mn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 35.20 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 824.33 Mn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 380.67 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 580.35 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 197.20 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 85.06 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 39.80 Mn |
| 10 | Louisiana-Pacific | 4.52 Bn | 3.52 Bn | 116.00 Mn | 70.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.00 Mn |
| Mar 31, 2026 | 70.00 Mn |
| Dec 31, 2025 | 70.00 Mn |
| Sep 30, 2025 | 70.00 Mn |
| Jun 30, 2025 | 70.00 Mn |
| Mar 31, 2025 | 70.00 Mn |
| Dec 31, 2024 | 70.00 Mn |
| Sep 30, 2024 | 70.00 Mn |
| Jun 30, 2024 | 71.00 Mn |
| Mar 31, 2024 | 72.00 Mn |
| Dec 31, 2023 | 72.00 Mn |
| Sep 30, 2023 | 72.11 Mn |
| Jun 30, 2023 | 72.10 Mn |
| Mar 31, 2023 | 72.03 Mn |
| Dec 31, 2022 | 71.75 Mn |
| Sep 30, 2022 | 71.69 Mn |
| Jun 30, 2022 | 77.24 Mn |
| Mar 31, 2022 | 84.50 Mn |
| Dec 31, 2021 | 85.64 Mn |
| Sep 30, 2021 | 90.22 Mn |
Louisiana-Pacific Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=LPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();