Lear (LEA) Total Non-Current Liabilities (2010 - 2026)
Lear's Total Non-Current Liabilities came in at $3.94 billion for Q2 2026, down 1.1% from $3.99 billion a year earlier and down 0.5% from the prior quarter.
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Analysis
Lear (LEA) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lear's Total Non-Current Liabilities was $3.98 billion, down 0.1% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $3.98 billion in FY2024 (+0.3%), $3.97 billion in FY2023 (+6.0%), $3.74 billion in FY2022 (-1.0%) and $3.78 billion in FY2021 (+7.9%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q1 2024.
- Year-over-year, Total Non-Current Liabilities increased in five of the last eight quarters, with growth averaging 0.2%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2022 (growth of 12.7%), and the weakest in Q3 2021 (a decline of 3.1%).
- Business Quant data shows LEA's Total Non-Current Liabilities at $3.96 billion (Q1 2026), $3.98 billion (Q4 2025) and $3.97 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 47.48 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 3.42 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 5.63 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 5.36 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 122.27 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 219.21 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 8.76 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 74.97 Bn |
| 10 | Lear | 5.82 Bn | 2.04 Bn | 470.30 Mn | 3.94 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 3.94 Bn |
| Apr 4, 2026 | 3.96 Bn |
| Dec 31, 2025 | 3.98 Bn |
| Sep 27, 2025 | 3.97 Bn |
| Jun 28, 2025 | 3.99 Bn |
| Mar 29, 2025 | 3.95 Bn |
| Dec 31, 2024 | 3.98 Bn |
| Sep 28, 2024 | 4.03 Bn |
| Jun 29, 2024 | 3.95 Bn |
| Mar 30, 2024 | 3.94 Bn |
| Dec 31, 2023 | 3.97 Bn |
| Sep 30, 2023 | 3.93 Bn |
| Jul 1, 2023 | 3.93 Bn |
| Apr 1, 2023 | 3.78 Bn |
| Dec 31, 2022 | 3.74 Bn |
| Oct 1, 2022 | 3.76 Bn |
| Jul 2, 2022 | 3.77 Bn |
| Apr 2, 2022 | 3.81 Bn |
| Dec 31, 2021 | 3.78 Bn |
| Oct 2, 2021 | 3.34 Bn |
API Access
Lear Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=LEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=LEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();