Lear (LEA) Land & Improvements (2010 - 2020)
Lear's Land & Improvements came in at $111.9 million for Q3 2020.
Powered by 
Analysis
Lear (LEA) Land & Improvements (2010 - 2020) Analysis & Trends
At the end of FY2019, Lear's Land & Improvements was $113.1 million.
- The Q3 2020 figure represents the lowest quarterly Land & Improvements since Q3 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | - |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 8.55 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | - |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | - |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | - |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | - |
| 10 | Lear | 5.82 Bn | 2.04 Bn | 470.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2020 | 111.90 Mn |
| Dec 31, 2019 | 113.10 Mn |
| Jun 28, 2014 | 115.80 Mn |
| Mar 29, 2014 | 112.80 Mn |
| Dec 31, 2013 | 113.40 Mn |
| Sep 28, 2013 | 115.60 Mn |
| Jun 29, 2013 | 113.60 Mn |
| Mar 30, 2013 | 112.60 Mn |
| Dec 31, 2012 | 114.00 Mn |
| Sep 29, 2012 | 106.50 Mn |
| Jun 30, 2012 | 102.80 Mn |
| Mar 31, 2012 | 107.80 Mn |
| Dec 31, 2011 | 106.10 Mn |
| Oct 1, 2011 | 107.80 Mn |
| Jul 2, 2011 | 113.90 Mn |
| Dec 31, 2010 | 106.00 Mn |
API Access
Lear Land & Improvements 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=land-and-improvements&ticker=LEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "LEA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=LEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();