Lear (LEA) Selling, General & Administrative (2010 - 2026)
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Analysis
Lear (LEA) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 2.02 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 2.03 Bn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 199.89 Mn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 3.08 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | 3.60 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 6.94 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | 572.00 Mn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | 591.00 Mn |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | 2.65 Bn |
| 10 | Lear | 5.43 Bn | 1.63 Bn | 382.30 Mn | 180.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 180.60 Mn |
| Jul 4, 2026 | 197.50 Mn |
| Apr 4, 2026 | 190.30 Mn |
| Dec 31, 2025 | 182.50 Mn |
| Sep 27, 2025 | 166.40 Mn |
| Jun 28, 2025 | 186.30 Mn |
| Mar 29, 2025 | 172.40 Mn |
| Dec 31, 2024 | 166.60 Mn |
| Sep 28, 2024 | 174.10 Mn |
| Jun 29, 2024 | 175.30 Mn |
| Mar 30, 2024 | 186.50 Mn |
| Dec 31, 2023 | 172.60 Mn |
| Sep 30, 2023 | 182.50 Mn |
| Jul 1, 2023 | 182.80 Mn |
| Apr 1, 2023 | 176.80 Mn |
| Dec 31, 2022 | 172.40 Mn |
| Oct 1, 2022 | 163.90 Mn |
| Jul 2, 2022 | 171.20 Mn |
| Apr 2, 2022 | 177.30 Mn |
| Dec 31, 2021 | 140.20 Mn |
API Access
Lear Selling, General & Administrative 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=selling-general-and-administrative&ticker=LEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();