Lkq (LKQ) Return on Sales [ROS] (2009 - 2026)
Lkq (LKQ) reported Return on Sales [ROS] of 6.60% for Q2 2026, down 1.91 percentage points from 8.51% a year earlier but up 0.35 percentage points from the prior quarter.
Lkq (LKQ) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lkq's Return on Sales [ROS] came in at 6.35%, down 1.97 percentage points year-over-year; for FY2025, it came in at 7.27%, down 1.01 percentage points from FY2024.
- Return on Sales [ROS] has declined for three consecutive years, with a five-year change of -1.20 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 8.28% in FY2024 (-1.69 pp), 9.98% in FY2023 (-2.38 pp), 12.36% in FY2022 (+1.10 pp) and 11.26% in FY2021 (+2.78 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 4.62% in Q4 2025 and a high of 16.73% in Q2 2022.
- Year over year, Return on Sales [ROS] has now declined in each of the last five quarters, with an average year-over-year change of -1.05 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2022 (a gain of 3.78 percentage points); the low point was Q2 2023 (a drop of 4.93 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 6.26% (Q1 2026), 4.62% (Q4 2025) and 7.83% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | Lkq | 5.78 Bn | 4.56 Bn | 1.32 Bn | 6.60% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.60% |
| Mar 31, 2026 | 6.26% |
| Dec 31, 2025 | 4.62% |
| Sep 30, 2025 | 7.83% |
| Jun 30, 2025 | 8.51% |
| Mar 31, 2025 | 8.03% |
| Dec 31, 2024 | 8.03% |
| Sep 30, 2024 | 8.66% |
| Jun 30, 2024 | 8.87% |
| Mar 31, 2024 | 7.80% |
| Dec 31, 2023 | 8.40% |
| Sep 30, 2023 | 8.63% |
| Jun 30, 2023 | 11.80% |
| Mar 31, 2023 | 10.90% |
| Dec 31, 2022 | 9.76% |
| Sep 30, 2022 | 11.53% |
| Jun 30, 2022 | 16.73% |
| Mar 31, 2022 | 11.08% |
| Dec 31, 2021 | 8.79% |
| Sep 30, 2021 | 11.46% |
Lkq Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LKQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();