Lkq (LKQ) Cash & Equivalents (2009 - 2026)
Lkq (LKQ) posted Cash & Equivalents of $301 million for Q2 2026, up 4.2% from $289 million a year earlier but down 10.1% from the prior quarter.
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Analysis
Lkq (LKQ) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Lkq's Cash & Equivalents came in at $319 million, up 36.3% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In prior years, Lkq's Cash & Equivalents was $234 million in FY2024 (-21.7%), $299 million in FY2023 (+7.6%), $278 million in FY2022 (+1.5%) and $274 million in FY2021 (-12.2%).
- Quarterly Cash & Equivalents has run from a low of $227 million in Q1 2025 to a high of $1.9 billion in Q2 2023 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 0.9% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2023, with growth of 618.5%; the weakest was Q2 2024, with a decline of 85.5%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $335 million (Q1 2026), $319 million (Q4 2025) and $289 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.63 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 262.18 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Lkq | 5.78 Bn | 4.56 Bn | 1.32 Bn | 301.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 301.00 Mn |
| Mar 31, 2026 | 335.00 Mn |
| Dec 31, 2025 | 319.00 Mn |
| Sep 30, 2025 | 289.00 Mn |
| Jun 30, 2025 | 289.00 Mn |
| Mar 31, 2025 | 227.00 Mn |
| Dec 31, 2024 | 234.00 Mn |
| Sep 30, 2024 | 353.00 Mn |
| Jun 30, 2024 | 276.00 Mn |
| Mar 31, 2024 | 344.00 Mn |
| Dec 31, 2023 | 299.00 Mn |
| Sep 30, 2023 | 401.00 Mn |
| Jun 30, 2023 | 1.90 Bn |
| Mar 31, 2023 | 342.00 Mn |
| Dec 31, 2022 | 278.00 Mn |
| Sep 30, 2022 | 269.00 Mn |
| Jun 30, 2022 | 265.00 Mn |
| Mar 31, 2022 | 327.00 Mn |
| Dec 31, 2021 | 274.00 Mn |
| Sep 30, 2021 | 402.70 Mn |
API Access
Lkq Cash & Equivalents 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=cash-and-equivalents&ticker=LKQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();