Lkq (LKQ) Long-Term Debt Repayments (2009 - 2026)
Lkq's Long-Term Debt Repayments was $391 million in Q2 2026, up 6.5% from $367 million a year earlier and up 123.4% from the prior quarter.
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Analysis
Lkq (LKQ) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lkq's Long-Term Debt Repayments was $2.14 billion through Jun 30, 2026, up 104.2% year-over-year; for FY2025, it was $2.18 billion, up 40.1% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $1.55 billion in FY2024 (-49.5%), $3.07 billion in FY2023 (+83.5%), $1.68 billion in FY2022 (-54.9%) and $3.72 billion in FY2021 (+152.3%).
- Quarterly Long-Term Debt Repayments has moved between $175 million (Q1 2026) and $2 billion (Q1 2023) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in three of the last eight quarters, with growth averaging 39.6%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q1 2023 (growth of 499.7%); the worst was Q1 2022 (a decline of 76.0%).
- Per Business Quant data, LKQ's Long-Term Debt Repayments in the three quarters before Q2 2026 was $175 million (Q1 2026), $792 million (Q4 2025) and $784 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,705.07 Bn | 2,221.76 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 322.64 Bn | 315.88 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 162.95 Bn | 140.50 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 113.45 Bn | 106.41 Bn | 8.58 Bn | 21.00 Mn |
| 5 | O Reilly Automotive | 75.24 Bn | 74.33 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 74.92 Bn | 57.84 Bn | 2.12 Bn | - |
| 7 | Target | 69.97 Bn | 64.56 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 53.22 Bn | 52.12 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.24 Bn | 32.73 Bn | 1.38 Bn | 21.00 Mn |
| 10 | Lkq | 5.72 Bn | 4.48 Bn | 1.32 Bn | 391.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 391.00 Mn |
| Mar 31, 2026 | 175.00 Mn |
| Dec 31, 2025 | 932.00 Mn |
| Sep 30, 2025 | 784.00 Mn |
| Jun 30, 2025 | 367.00 Mn |
| Mar 31, 2025 | 233.00 Mn |
| Dec 31, 2024 | 237.00 Mn |
| Sep 30, 2024 | 212.00 Mn |
| Jun 30, 2024 | 445.00 Mn |
| Mar 31, 2024 | 659.00 Mn |
| Dec 31, 2023 | 359.00 Mn |
| Sep 30, 2023 | 448.00 Mn |
| Jun 30, 2023 | 264.00 Mn |
| Mar 31, 2023 | 2.00 Bn |
| Dec 31, 2022 | 224.00 Mn |
| Sep 30, 2022 | 334.00 Mn |
| Jun 30, 2022 | 783.00 Mn |
| Mar 31, 2022 | 334.00 Mn |
| Dec 31, 2021 | 475.00 Mn |
| Sep 30, 2021 | 449.00 Mn |
API Access
Lkq Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=LKQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();