Lear (LEA) Other Operating Expenses (2010 - 2020)
Lear (LEA) reported Other Operating Expenses of -$64.1 million for FY2025, compared with -$10.5 million in FY2024.
Analysis
Lear (LEA) Other Operating Expenses (2010 - 2020) Analysis & Trends
Dating back to FY2010, Lear's Other Operating Expenses record includes 16 years.
- The FY2025 figure ranks as the lowest annual Other Operating Expenses in data going back to FY2010.
- According to Business Quant data, Other Operating Expenses came in at -$10.5 million in FY2024, -$29.3 million in FY2023, -$29.1 million in FY2022 and -$20.1 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,305.48 Bn | 1,140.04 Bn | 4.75 Bn |
| 2 | Ferrari | 148.41 Bn | 140.91 Bn | 1.18 Bn |
| 3 | General Motors | 72.77 Bn | -30.13 Bn | 9.28 Bn |
| 4 | Honda Motor | 51.22 Bn | -96.94 Bn | 8.46 Bn |
| 5 | Ford Motor | 48.22 Bn | -94.25 Bn | 6.08 Bn |
| 6 | Toyota Motor | 25.00 Bn | -375.82 Bn | 20.95 Bn |
| 7 | Magna International | 18.13 Bn | 12.50 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 16.72 Bn | -4.98 Bn | 176.00 Mn |
| 9 | Stellantis | 13.62 Bn | -147.29 Bn | 3.94 Bn |
| 10 | Lear | 5.78 Bn | 2.00 Bn | 470.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2020 | 20.30 Mn |
| Sep 28, 2019 | 13.70 Mn |
| Jun 28, 2014 | 17.40 Mn |
| Mar 29, 2014 | 29.80 Mn |
| Dec 31, 2013 | 21.10 Mn |
| Sep 28, 2013 | 17.30 Mn |
| Jun 29, 2013 | 10.40 Mn |
| Mar 30, 2013 | 11.30 Mn |
| Dec 31, 2012 | 8.40 Mn |
| Sep 29, 2012 | 9.30 Mn |
| Jun 30, 2012 | 13.40 Mn |
| Mar 31, 2012 | 3.20 Mn |
| Dec 31, 2011 | 9.40 Mn |
| Oct 1, 2011 | 13.00 Mn |
| Jul 2, 2011 | 8.90 Mn |
| Apr 2, 2011 | 4.20 Mn |
| Dec 31, 2010 | 4.30 Mn |
| Oct 2, 2010 | 12.80 Mn |
| Jul 3, 2010 | 4.00 Mn |
API Access
Lear Other Operating 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=other-operating-expenses&ticker=LEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=LEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();