Lear (LEA) Return on Capital Employed [ROCE] (2010 - 2026)
Lear (LEA) recorded Return on Capital Employed [ROCE] of 9.71% in Q2 2026, down 0.36 percentage points from 10.07% a year earlier and down 0.03 percentage points from the prior quarter.
Lear (LEA) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Lear reported Return on Capital Employed [ROCE] of 9.09%, down 1.42 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of +2.47 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 10.51% in FY2024 (-1.12 pp), 11.63% in FY2023 (+2.97 pp), 8.66% in FY2022 (-0.13 pp) and 8.79% in FY2021 (+2.18 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from 5.96% in Q2 2022 to 11.34% in Q3 2021 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for seven consecutive quarters, with an average year-over-year change of -0.75 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 6.56 percentage points in Q3 2021, against a drop of 7.57 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 9.74% (Q1 2026), 8.54% (Q4 2025) and 9.23% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 3.95% |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 2.97% |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 2.00% |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 0.98% |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | -3.99% |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | -31.93% |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | -0.99% |
| 10 | Lear | 5.96 Bn | 2.18 Bn | 470.30 Mn | 9.71% |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 9.71% |
| Apr 4, 2026 | 9.74% |
| Dec 31, 2025 | 8.54% |
| Sep 27, 2025 | 9.23% |
| Jun 28, 2025 | 10.07% |
| Mar 29, 2025 | 10.76% |
| Dec 31, 2024 | 10.44% |
| Sep 28, 2024 | 10.71% |
| Jun 29, 2024 | 10.64% |
| Mar 30, 2024 | 10.79% |
| Dec 31, 2023 | 11.08% |
| Sep 30, 2023 | 10.69% |
| Jul 1, 2023 | 10.65% |
| Apr 1, 2023 | 9.83% |
| Dec 31, 2022 | 8.65% |
| Oct 1, 2022 | 8.04% |
| Jul 2, 2022 | 5.96% |
| Apr 2, 2022 | 6.73% |
| Dec 31, 2021 | 8.87% |
| Oct 2, 2021 | 11.34% |
Lear Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=LEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=LEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();