Lkq (LKQ) Selling, General & Administrative (2009 - 2026)
Lkq's Selling, General & Administrative came in at $990 million for Q2 2026, up 3.3% from $958 million a year earlier but down 0.4% from the prior quarter.
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Analysis
Lkq (LKQ) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lkq reported Selling, General & Administrative of $3.89 billion, up 4.5% year-over-year; for FY2025, it was $3.81 billion, up 1.5% from FY2024.
- Selling, General & Administrative has increased in each of the last three years, with a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $3.76 billion in FY2024 (+1.6%), $3.7 billion in FY2023 (+4.3%), $3.54 billion in FY2022 (-0.7%) and $3.57 billion in FY2021 (+9.2%).
- The five-year range for quarterly Selling, General & Administrative is $849 million (Q4 2023) to $1.04 billion (Q1 2024).
- Year-over-year, Selling, General & Administrative has increased for four consecutive quarters, with growth averaging 0.8% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2023 (growth of 13.7%), and the weakest in Q1 2025 (a decline of 9.1%).
- Business Quant data shows LKQ's Selling, General & Administrative at $994 million (Q1 2026), $948 million (Q4 2025) and $958 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 5.73 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 704.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 1.53 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Lkq | 5.78 Bn | 4.56 Bn | 1.32 Bn | 990.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 990.00 Mn |
| Mar 31, 2026 | 994.00 Mn |
| Dec 31, 2025 | 948.00 Mn |
| Sep 30, 2025 | 958.00 Mn |
| Jun 30, 2025 | 958.00 Mn |
| Mar 31, 2025 | 949.00 Mn |
| Dec 31, 2024 | 885.00 Mn |
| Sep 30, 2024 | 931.00 Mn |
| Jun 30, 2024 | 976.00 Mn |
| Mar 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 849.00 Mn |
| Sep 30, 2023 | 979.00 Mn |
| Jun 30, 2023 | 938.00 Mn |
| Mar 31, 2023 | 931.00 Mn |
| Dec 31, 2022 | 861.00 Mn |
| Sep 30, 2022 | 861.00 Mn |
| Jun 30, 2022 | 898.00 Mn |
| Mar 31, 2022 | 924.00 Mn |
| Dec 31, 2021 | 920.00 Mn |
| Sep 30, 2021 | 898.00 Mn |
API Access
Lkq Selling, General & Administrative 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=selling-general-and-administrative&ticker=LKQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();