Lear (LEA) Selling, General & Administrative (2010 - 2026)
Lear (LEA) posted Selling, General & Administrative of $197.5 million for Q2 2026, up 6.0% from $186.3 million a year earlier and up 3.8% from the prior quarter.
Lear (LEA) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, Selling, General & Administrative at Lear was $736.7 million, up 5.3% year-over-year; for FY2025, it was $707.6 million, up 0.7% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- In prior years, Lear's Selling, General & Administrative was $702.5 million in FY2024 (-1.7%), $714.7 million in FY2023 (+4.4%), $684.8 million in FY2022 (+6.5%) and $643.2 million in FY2021 (+9.2%).
- The Q2 2026 figure stands as the highest quarterly Selling, General & Administrative in data going back to Q1 2010.
- On a year-over-year basis, Selling, General & Administrative has increased in each of the last three quarters, with growth averaging 1.5% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2022, with growth of 23.0%; the weakest was Q1 2025, with a decline of 7.6%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $190.3 million (Q1 2026), $182.5 million (Q4 2025) and $166.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,146.25 Bn | 980.81 Bn | 4.75 Bn | 1.98 Bn |
| 2 | Toyota Motor | 244.39 Bn | -162.35 Bn | 20.95 Bn | 8.63 Bn |
| 3 | Ferrari | 143.73 Bn | 136.18 Bn | 1.18 Bn | 218.61 Mn |
| 4 | Honda Motor | 143.33 Bn | 10.71 Bn | 8.46 Bn | -3.60 Bn |
| 5 | General Motors | 69.61 Bn | -35.26 Bn | 7.33 Bn | 2.20 Bn |
| 6 | Ford Motor | 48.10 Bn | -94.36 Bn | 6.08 Bn | 2.68 Bn |
| 7 | Rivian Automotive | 20.10 Bn | -3.19 Bn | 179.00 Mn | 549.00 Mn |
| 8 | Magna International | 18.07 Bn | 15.63 Bn | 1.61 Bn | 585.00 Mn |
| 9 | Stellantis | 13.56 Bn | -152.44 Bn | 5.55 Bn | 2.89 Bn |
| 10 | Lear | 5.99 Bn | 2.21 Bn | 470.30 Mn | 197.50 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Oct 2, 2021 | 163.30 Mn |
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_KEY
import 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();