Lear (LEA) Income After Tax (2010 - 2026)
Lear (LEA) recorded Income After Tax of $130.6 million in Q3 2026, up 14.3% from $114.3 million a year earlier but down 32.1% from the prior quarter.
Lear (LEA) Income After Tax (2010 - 2026) Analysis & Trends
On a TTM basis, Lear's Income After Tax came in at $596 million as of Oct 3, 2026, up 23.7% year-over-year; for FY2025, it was $475.1 million, down 12.3% from FY2024.
- Annual Income After Tax has a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- Across earlier years, Income After Tax came in at $541.8 million in FY2024 (-9.2%), $596.4 million in FY2023 (+58.8%), $375.6 million in FY2022 (-15.7%) and $445.8 million in FY2021 (+117.0%).
- Quarterly Income After Tax has ranged from $42.9 million in Q4 2021 to $192.4 million in Q2 2026 over the past five years.
- On a year-over-year basis, Income After Tax has increased for three consecutive quarters, with growth averaging 5.9% over the last eight quarters.
- Peak year-over-year performance for Income After Tax in the last five years was growth of 191.8% in Q4 2022, against a decline of 79.6% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $192.4 million (Q2 2026), $178.3 million (Q1 2026) and $94.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,113.56 Bn | 944.46 Bn | 5.49 Bn | 804.00 Mn |
| 2 | Ferrari | 156.88 Bn | 149.18 Bn | 1.14 Bn | 495.22 Mn |
| 3 | General Motors | 75.72 Bn | -27.18 Bn | 9.28 Bn | 3.38 Bn |
| 4 | Honda Motor | 54.76 Bn | -93.40 Bn | 8.46 Bn | 4.62 Bn |
| 5 | Ford Motor | 49.15 Bn | -85.23 Bn | 7.38 Bn | 2.05 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 4.73 Bn |
| 7 | Rivian Automotive | 19.40 Bn | -2.29 Bn | 176.00 Mn | -907.00 Mn |
| 8 | Magna International | 17.60 Bn | 11.91 Bn | 1.63 Bn | 400.00 Mn |
| 9 | Stellantis | 12.84 Bn | -148.07 Bn | 3.94 Bn | -498.13 Mn |
| 10 | Lear | 5.50 Bn | 1.84 Bn | 382.30 Mn | 130.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 130.60 Mn |
| Jul 4, 2026 | 192.40 Mn |
| Apr 4, 2026 | 178.30 Mn |
| Dec 31, 2025 | 94.70 Mn |
| Sep 27, 2025 | 114.30 Mn |
| Jun 28, 2025 | 175.90 Mn |
| Mar 29, 2025 | 90.20 Mn |
| Dec 31, 2024 | 101.60 Mn |
| Sep 28, 2024 | 143.50 Mn |
| Jun 29, 2024 | 180.30 Mn |
| Mar 30, 2024 | 116.40 Mn |
| Dec 31, 2023 | 129.90 Mn |
| Sep 30, 2023 | 141.70 Mn |
| Jul 1, 2023 | 171.00 Mn |
| Apr 1, 2023 | 153.80 Mn |
| Dec 31, 2022 | 125.20 Mn |
| Oct 1, 2022 | 113.20 Mn |
| Jul 2, 2022 | 81.30 Mn |
| Apr 2, 2022 | 55.90 Mn |
| Dec 31, 2021 | 42.90 Mn |
Lear Income After Tax 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=profit-after-tax&ticker=LEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=LEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();