Lkq (LKQ) Operating Expenses (2009 - 2026)
Lkq (LKQ) reported Operating Expenses of $1 billion for Q2 2026, up 3.9% from $966 million a year earlier but down 2.2% from the prior quarter.
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Analysis
Lkq (LKQ) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lkq's Operating Expenses came in at $3.96 billion, up 4.3% year-over-year; for FY2025, it came in at $4.08 billion, down 0.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- By year, Operating Expenses came in at $4.1 billion in FY2024 (+4.2%), $3.94 billion in FY2023 (+5.5%), $3.73 billion in FY2022 (-0.9%) and $3.77 billion in FY2021 (+7.3%).
- Five-year quarterly Operating Expenses spans a low of $861 million in Q4 2023 and a high of $1.07 billion in Q1 2024.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 0.3% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2023 (growth of 16.4%); the low point was Q1 2025 (a decline of 10.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.03 billion (Q1 2026), $957 million (Q4 2025) and $972 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Lkq | 5.86 Bn | 4.64 Bn | 1.32 Bn | 1.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Bn |
| Mar 31, 2026 | 1.03 Bn |
| Dec 31, 2025 | 957.00 Mn |
| Sep 30, 2025 | 972.00 Mn |
| Jun 30, 2025 | 966.00 Mn |
| Mar 31, 2025 | 960.00 Mn |
| Dec 31, 2024 | 921.00 Mn |
| Sep 30, 2024 | 951.00 Mn |
| Jun 30, 2024 | 1.03 Bn |
| Mar 31, 2024 | 1.07 Bn |
| Dec 31, 2023 | 861.00 Mn |
| Sep 30, 2023 | 1.01 Bn |
| Jun 30, 2023 | 946.00 Mn |
| Mar 31, 2023 | 949.00 Mn |
| Dec 31, 2022 | 871.00 Mn |
| Sep 30, 2022 | 864.00 Mn |
| Jun 30, 2022 | 902.00 Mn |
| Mar 31, 2022 | 927.00 Mn |
| Dec 31, 2021 | 924.00 Mn |
| Sep 30, 2021 | 901.00 Mn |
API Access
Lkq Operating Expenses 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=operating-expenses&ticker=LKQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();