Lkq (LKQ) Total Non-Current Liabilities (2009 - 2026)
Lkq (LKQ) recorded Total Non-Current Liabilities of $8.22 billion in Q2 2026, down 9.3% from $9.06 billion a year earlier and down 1.2% from the prior quarter.
Lkq (LKQ) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Lkq reported Total Non-Current Liabilities of $8.24 billion, down 3.9% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $8.58 billion in FY2024 (unchanged), $8.58 billion in FY2023 (+36.5%), $6.29 billion in FY2022 (-2.6%) and $6.45 billion in FY2021 (+2.2%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q2 2023.
- On a year-over-year basis, Total Non-Current Liabilities has declined for four consecutive quarters, with an average decline of 2.2% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 46.6% in Q3 2023, against a decline of 9.3% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.32 billion (Q1 2026), $8.24 billion (Q4 2025) and $8.68 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 22.81 Bn |
| 10 | Lkq | 5.79 Bn | 4.57 Bn | 1.32 Bn | 8.22 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.22 Bn |
| Mar 31, 2026 | 8.32 Bn |
| Dec 31, 2025 | 8.24 Bn |
| Sep 30, 2025 | 8.68 Bn |
| Jun 30, 2025 | 9.06 Bn |
| Mar 31, 2025 | 8.96 Bn |
| Dec 31, 2024 | 8.58 Bn |
| Sep 30, 2024 | 8.90 Bn |
| Jun 30, 2024 | 8.76 Bn |
| Mar 31, 2024 | 8.78 Bn |
| Dec 31, 2023 | 8.58 Bn |
| Sep 30, 2023 | 8.91 Bn |
| Jun 30, 2023 | 7.90 Bn |
| Mar 31, 2023 | 6.51 Bn |
| Dec 31, 2022 | 6.29 Bn |
| Sep 30, 2022 | 6.08 Bn |
| Jun 30, 2022 | 6.21 Bn |
| Mar 31, 2022 | 6.63 Bn |
| Dec 31, 2021 | 6.45 Bn |
| Sep 30, 2021 | 6.16 Bn |
Lkq 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=LKQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "LKQ", "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=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();