Lear (LEA) Depreciation and Depletion (2010 - 2026)
Lear's Depreciation and Depletion came in at $145.7 million for Q2 2026, up 1.5% from $143.5 million a year earlier and up 0.6% from the prior quarter.
Lear (LEA) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 4, 2026, Lear reported Depreciation and Depletion of $589.2 million, up 2.3% year-over-year; for FY2025, it came in at $584.6 million, up 2.3% from FY2024.
- Depreciation and Depletion has increased in each of the last 13 years, with a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $571.6 million in FY2024 (+5.5%), $541.9 million in FY2023 (+7.2%), $505.7 million in FY2022 (+1.0%) and $500.6 million in FY2021 (+5.6%).
- The five-year range for quarterly Depreciation and Depletion is $124.1 million (Q3 2022) to $151.1 million (Q4 2025).
- Year-over-year, Depreciation and Depletion has increased for 15 consecutive quarters, with growth averaging 2.9% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q3 2023 (growth of 9.9%), and the weakest in Q3 2022 (a decline of 0.4%).
- Business Quant data shows LEA's Depreciation and Depletion at $144.9 million (Q1 2026), $151.1 million (Q4 2025) and $147.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,146.25 Bn | 980.81 Bn | 4.75 Bn | 1.37 Bn |
| 2 | Toyota Motor | 244.39 Bn | -162.35 Bn | 20.95 Bn | - |
| 3 | Ferrari | 143.73 Bn | 136.18 Bn | 1.18 Bn | 24.66 Mn |
| 4 | Honda Motor | 143.33 Bn | 10.71 Bn | 8.46 Bn | - |
| 5 | General Motors | 69.61 Bn | -35.26 Bn | 7.33 Bn | 1.30 Bn |
| 6 | Ford Motor | 48.10 Bn | -94.36 Bn | 6.08 Bn | 1.87 Bn |
| 7 | Rivian Automotive | 20.10 Bn | -3.19 Bn | 179.00 Mn | 227.00 Mn |
| 8 | Magna International | 18.07 Bn | 15.63 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.56 Bn | -152.44 Bn | 5.55 Bn | - |
| 10 | Lear | 5.99 Bn | 2.21 Bn | 470.30 Mn | 145.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 145.70 Mn |
| Apr 4, 2026 | 144.90 Mn |
| Dec 31, 2025 | 151.10 Mn |
| Sep 27, 2025 | 147.50 Mn |
| Jun 28, 2025 | 143.50 Mn |
| Mar 29, 2025 | 142.50 Mn |
| Dec 31, 2024 | 148.50 Mn |
| Sep 28, 2024 | 141.70 Mn |
| Jun 29, 2024 | 141.20 Mn |
| Mar 30, 2024 | 140.20 Mn |
| Dec 31, 2023 | 139.00 Mn |
| Sep 30, 2023 | 136.40 Mn |
| Jul 1, 2023 | 135.20 Mn |
| Apr 1, 2023 | 131.30 Mn |
| Dec 31, 2022 | 126.90 Mn |
| Oct 1, 2022 | 124.10 Mn |
| Jul 2, 2022 | 127.00 Mn |
| Apr 2, 2022 | 127.70 Mn |
| Dec 31, 2021 | 126.60 Mn |
| Oct 2, 2021 | 124.60 Mn |
Lear Depreciation and Depletion 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=depreciation-and-depletion&ticker=LEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=LEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();