Lear (LEA) EBITDA (2010 - 2026)
Lear's EBITDA was $423.4 million in Q2 2026, up 5.6% from $401 million a year earlier and up 3.3% from the prior quarter.
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Analysis
Lear (LEA) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lear's EBITDA was $1.5 billion through Jul 4, 2026, unchanged year-over-year; for FY2025, it was $1.4 billion, down 10.1% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In earlier years, EBITDA was $1.56 billion in FY2024 (-2.7%), $1.6 billion in FY2023 (+22.9%), $1.3 billion in FY2022 (-1.6%) and $1.32 billion in FY2021 (+24.8%).
- The Q2 2026 figure marks the highest quarterly EBITDA since Q2 2024.
- Compared with a year earlier, EBITDA was higher in two of the last eight quarters, with an average decline of 1.9%.
- The best year-over-year quarter for EBITDA over five years was Q3 2022 (growth of 72.9%); the worst was Q3 2021 (a decline of 50.9%).
- Per Business Quant data, LEA's EBITDA in the three quarters before Q2 2026 was $409.9 million (Q1 2026), $315.8 million (Q4 2025) and $349.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,318.48 Bn | 1,144.51 Bn | 4.75 Bn | 2.02 Bn |
| 2 | General Motors | 70.30 Bn | -34.31 Bn | 9.28 Bn | 4.80 Bn |
| 3 | Ferrari | 69.47 Bn | 61.96 Bn | 1.18 Bn | 878.33 Mn |
| 4 | Ford Motor | 46.75 Bn | -95.75 Bn | 6.08 Bn | 2.50 Bn |
| 5 | Honda Motor | 45.43 Bn | -104.38 Bn | 8.46 Bn | 4.42 Bn |
| 6 | Toyota Motor | 25.22 Bn | -381.28 Bn | 20.95 Bn | 10.70 Bn |
| 7 | Magna International | 18.07 Bn | 12.09 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 15.66 Bn | -7.65 Bn | 179.00 Mn | -599.00 Mn |
| 9 | Stellantis | 11.94 Bn | -152.71 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Lear | 5.87 Bn | 1.94 Bn | 470.30 Mn | 423.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 423.40 Mn |
| Apr 4, 2026 | 409.90 Mn |
| Dec 31, 2025 | 315.80 Mn |
| Sep 27, 2025 | 349.60 Mn |
| Jun 28, 2025 | 401.00 Mn |
| Mar 29, 2025 | 334.50 Mn |
| Dec 31, 2024 | 379.60 Mn |
| Sep 28, 2024 | 383.60 Mn |
| Jun 29, 2024 | 427.40 Mn |
| Mar 30, 2024 | 366.90 Mn |
| Dec 31, 2023 | 386.70 Mn |
| Sep 30, 2023 | 387.60 Mn |
| Jul 1, 2023 | 425.40 Mn |
| Apr 1, 2023 | 400.40 Mn |
| Dec 31, 2022 | 341.40 Mn |
| Oct 1, 2022 | 352.30 Mn |
| Jul 2, 2022 | 320.30 Mn |
| Apr 2, 2022 | 287.60 Mn |
| Dec 31, 2021 | 273.30 Mn |
| Oct 2, 2021 | 203.80 Mn |
API Access
Lear EBITDA 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=ebitda&ticker=LEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();