Genuine Parts (GPC) Return on Sales [ROS] (2009 - 2026)
Genuine Parts' Return on Sales [ROS] came in at 5.15% for Q2 2026, down 0.97 percentage points from 6.11% a year earlier but up 0.58 percentage points from the prior quarter.
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Analysis
Genuine Parts (GPC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Genuine Parts reported Return on Sales [ROS] of 3.66%, down 1.28 percentage points year-over-year; for FY2025, it came in at 3.95%, down 1.28 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +1.44 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 5.23% in FY2024 (-2.33 pp), 7.57% in FY2023 (+0.26 pp), 7.31% in FY2022 (+1.14 pp) and 6.16% in FY2021 (+3.65 pp).
- The five-year range for quarterly Return on Sales [ROS] is -0.64% (Q4 2025) to 9.07% (Q2 2022).
- Year-over-year, Return on Sales [ROS] has declined for ten consecutive quarters, with an average year-over-year change of -1.66 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2022 (a gain of 3.62 percentage points), and the weakest in Q4 2024 (a drop of 4.22 percentage points).
- Business Quant data shows GPC's Return on Sales [ROS] at 4.57% (Q1 2026), -0.64% (Q4 2025) and 5.34% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Genuine Parts | 17.54 Bn | 15.59 Bn | 2.47 Bn | 5.15% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.15% |
| Mar 31, 2026 | 4.57% |
| Dec 31, 2025 | -0.64% |
| Sep 30, 2025 | 5.34% |
| Jun 30, 2025 | 6.11% |
| Mar 31, 2025 | 4.91% |
| Dec 31, 2024 | 3.28% |
| Sep 30, 2024 | 5.39% |
| Jun 30, 2024 | 6.68% |
| Mar 31, 2024 | 5.53% |
| Dec 31, 2023 | 7.50% |
| Sep 30, 2023 | 7.99% |
| Jun 30, 2023 | 7.67% |
| Mar 31, 2023 | 7.10% |
| Dec 31, 2022 | 6.29% |
| Sep 30, 2022 | 7.55% |
| Jun 30, 2022 | 9.07% |
| Mar 31, 2022 | 6.23% |
| Dec 31, 2021 | 7.04% |
| Sep 30, 2021 | 6.13% |
API Access
Genuine Parts 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=GPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GPC", "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=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();