Louisiana-Pacific (LPX) Accumulated Expenses (2012 - 2021)
Louisiana-Pacific (LPX) posted Accumulated Expenses of $45 million for Q4 2021, up 2.3% from $44 million a year earlier.
Analysis
Louisiana-Pacific (LPX) Accumulated Expenses (2012 - 2021) Analysis & Trends
Since Q4 2012, Louisiana-Pacific has reported Accumulated Expenses for 13 quarters.
- Annual Accumulated Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 18.4% (FY2016 to FY2021).
- In prior years, Louisiana-Pacific's Accumulated Expenses was $44 million in FY2020 (+29.4%), $34 million in FY2019 (+13.3%), $30 million in FY2018 (+24.0%) and $24.2 million in FY2017 (+25.4%).
- The Q4 2021 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | Louisiana-Pacific | 4.52 Bn | 3.52 Bn | 116.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 45.00 Mn |
| Dec 31, 2020 | 44.00 Mn |
| Dec 31, 2019 | 34.00 Mn |
| Dec 31, 2018 | 30.00 Mn |
| Sep 30, 2018 | 27.50 Mn |
| Jun 30, 2018 | 23.50 Mn |
| Mar 31, 2018 | 18.70 Mn |
| Dec 31, 2017 | 24.20 Mn |
| Dec 31, 2016 | 19.30 Mn |
| Dec 31, 2015 | 13.70 Mn |
| Dec 31, 2014 | 15.90 Mn |
| Dec 31, 2013 | 9.10 Mn |
| Dec 31, 2012 | 8.70 Mn |
API Access
Louisiana-Pacific Accumulated Expenses 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=accumulated-expenses&ticker=LPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();