Lear (LEA) Income Taxes Paid (2010 - 2026)
Lear's Income Taxes Paid came in at $63.6 million for Q3 2026, up 4.3% from $61 million a year earlier but down 22.2% from the prior quarter.
Lear (LEA) Income Taxes Paid (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Oct 3, 2026, Lear reported Income Taxes Paid of $265.1 million, down 3.5% year-over-year; for FY2025, it came in at $276.8 million, up 3.5% from FY2024.
- Income Taxes Paid has increased in each of the last five years, with a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- Going back by year, Income Taxes Paid was $267.5 million in FY2024 (+22.9%), $217.6 million in FY2023 (+11.8%), $194.6 million in FY2022 (+31.2%) and $148.3 million in FY2021 (+4.8%).
- The five-year range for quarterly Income Taxes Paid is $32 million (Q4 2021) to $103.1 million (Q2 2024).
- Year-over-year, Income Taxes Paid increased in five of the last eight quarters, with growth averaging 4.1%.
- The fastest year-over-year change in Income Taxes Paid over five years came in Q1 2022 (growth of 61.0%), and the weakest in Q4 2021 (a decline of 43.1%).
- Business Quant data shows LEA's Income Taxes Paid at $81.7 million (Q2 2026), $55.9 million (Q1 2026) and $63.9 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | - |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | - |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | -9.17 Mn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | - |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | -405.92 Mn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | -1.92 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | - |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | - |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | -308.31 Mn |
| 10 | Lear | 5.43 Bn | 1.63 Bn | 382.30 Mn | 63.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 63.60 Mn |
| Jul 4, 2026 | 81.70 Mn |
| Apr 4, 2026 | 55.90 Mn |
| Dec 31, 2025 | 63.90 Mn |
| Sep 27, 2025 | 61.00 Mn |
| Jun 28, 2025 | 93.80 Mn |
| Mar 29, 2025 | 58.10 Mn |
| Dec 31, 2024 | 61.70 Mn |
| Sep 28, 2024 | 52.40 Mn |
| Jun 29, 2024 | 103.10 Mn |
| Mar 30, 2024 | 50.30 Mn |
| Dec 31, 2023 | 51.80 Mn |
| Sep 30, 2023 | 55.50 Mn |
| Jul 1, 2023 | 64.80 Mn |
| Apr 1, 2023 | 45.50 Mn |
| Dec 31, 2022 | 38.00 Mn |
| Oct 1, 2022 | 45.00 Mn |
| Jul 2, 2022 | 61.70 Mn |
| Apr 2, 2022 | 49.90 Mn |
| Dec 31, 2021 | 32.00 Mn |
Lear Income Taxes Paid 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=income-taxes-paid&ticker=LEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=LEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();