Genuine Parts (GPC) Return on Sales [ROS] (2009 - 2026)
Genuine Parts' Return on Sales [ROS] came in at 5.04% for Q3 2026, down 0.30 percentage points from 5.34% a year earlier and down 0.11 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 Sep 30, 2026, Genuine Parts reported Return on Sales [ROS] of 3.60%, down 1.34 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 11 consecutive quarters, with an average year-over-year change of -1.37 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 5.15% (Q2 2026), 4.57% (Q1 2026) and -0.64% (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 13.90% |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 13.67% |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 8.88% |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 17.62% |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 9.65% |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 21.45% |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 19.97% |
| 10 | Genuine Parts | 17.20 Bn | 14.91 Bn | 2.48 Bn | 0.03% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.03% |
| Jun 30, 2026 | 0.03% |
| Mar 31, 2026 | 0.03% |
| Dec 31, 2025 | 0.02% |
| Sep 30, 2025 | 0.03% |
| Jun 30, 2025 | 0.03% |
| Mar 31, 2025 | 0.03% |
| Dec 31, 2024 | 0.03% |
| Sep 30, 2024 | 0.03% |
| Jun 30, 2024 | 0.03% |
| Mar 31, 2024 | 0.03% |
| 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% |
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();