Lear (LEA) Return on Sales [ROS] (2010 - 2026)
Lear (LEA) posted Return on Sales [ROS] of 3.49% for Q3 2026, up 0.02 percentage points from 3.47% a year earlier but down 0.90 percentage points from the prior quarter.
Lear (LEA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Oct 3, 2026, Return on Sales [ROS] at Lear was 3.76%, up 0.03 percentage points year-over-year; for FY2025, it came in at 3.43%, down 0.59 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +0.38 percentage points (FY2020 to FY2025).
- In prior years, Lear's Return on Sales [ROS] was 4.02% in FY2024 (-0.22 pp), 4.24% in FY2023 (+0.77 pp), 3.47% in FY2022 (-0.42 pp) and 3.89% in FY2021 (+0.84 pp).
- Quarterly Return on Sales [ROS] has run from a low of 2.67% in Q4 2025 to a high of 4.57% in Q2 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of -0.15 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2022, with a gain of 2.58 percentage points; the weakest was Q4 2021, with a drop of 3.28 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 4.39% (Q2 2026), 4.47% (Q1 2026) and 2.67% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 2.56% |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 7.19% |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 29.70% |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 2.94% |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | 8.76% |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 8.39% |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | -40.88% |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | 13.52% |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | -0.88% |
| 10 | Lear | 5.43 Bn | 1.63 Bn | 382.30 Mn | 3.49% |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 3.49% |
| Jul 4, 2026 | 4.39% |
| Apr 4, 2026 | 4.47% |
| Dec 31, 2025 | 2.67% |
| Sep 27, 2025 | 3.47% |
| Jun 28, 2025 | 4.19% |
| Mar 29, 2025 | 3.36% |
| Dec 31, 2024 | 3.86% |
| Sep 28, 2024 | 4.14% |
| Jun 29, 2024 | 4.55% |
| Mar 30, 2024 | 3.53% |
| Dec 31, 2023 | 3.98% |
| Sep 30, 2023 | 4.08% |
| Jul 1, 2023 | 4.57% |
| Apr 1, 2023 | 4.33% |
| Dec 31, 2022 | 3.71% |
| Oct 1, 2022 | 4.06% |
| Jul 2, 2022 | 3.33% |
| Apr 2, 2022 | 2.77% |
| Dec 31, 2021 | 2.68% |
Lear Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();