Genuine Parts (GPC) Gross Margin (2009 - 2026)
Genuine Parts (GPC) posted Gross Margin of 38.09% for Q3 2026, up 0.69 percentage points from 37.40% a year earlier and up 0.30 percentage points from the prior quarter.
Genuine Parts (GPC) Gross Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Gross Margin at Genuine Parts was 37.09%, up 0.06 percentage points year-over-year; for FY2025, it came in at 36.79%, up 0.50 percentage points from FY2024.
- Annual Gross Margin has increased for three consecutive years, with a five-year change of +2.60 percentage points (FY2020 to FY2025).
- In prior years, Genuine Parts' Gross Margin was 36.29% in FY2024 (+0.39 pp), 35.90% in FY2023 (+0.88 pp), 35.03% in FY2022 (-0.13 pp) and 35.16% in FY2021 (+0.96 pp).
- The Q3 2026 figure stands as the highest quarterly Gross Margin since Q4 2018.
- On a year-over-year basis, Gross Margin has increased in each of the last three quarters, with an average year-over-year change of +0.32 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q3 2023, with a gain of 1.33 percentage points; the weakest was Q4 2025, with a drop of 0.91 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 37.80% (Q2 2026), 37.33% (Q1 2026) and 34.97% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn | 52.26% |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn | 33.67% |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | 33.41% |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn | 33.04% |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn | 51.45% |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | 33.83% |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn | 33.67% |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn | 52.15% |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn | 18.76% |
| 10 | Genuine Parts | 17.60 Bn | 15.30 Bn | 2.48 Bn | 38.09% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 38.09% |
| Jun 30, 2026 | 37.80% |
| Mar 31, 2026 | 37.33% |
| Dec 31, 2025 | 34.97% |
| Sep 30, 2025 | 37.40% |
| Jun 30, 2025 | 37.71% |
| Mar 31, 2025 | 37.06% |
| Dec 31, 2024 | 35.88% |
| Sep 30, 2024 | 36.82% |
| Jun 30, 2024 | 36.57% |
| Mar 31, 2024 | 35.87% |
| Dec 31, 2023 | 36.40% |
| Sep 30, 2023 | 36.21% |
| Jun 30, 2023 | 36.09% |
| Mar 31, 2023 | 34.92% |
| Dec 31, 2022 | 35.73% |
| Sep 30, 2022 | 34.88% |
| Jun 30, 2022 | 35.00% |
| Mar 31, 2022 | 34.49% |
| Dec 31, 2021 | 35.26% |
Genuine Parts Gross Margin 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=gross-margin&ticker=GPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();