Genuine Parts (GPC) Gross Margin (2009 - 2026)
Genuine Parts (GPC) posted Gross Margin of 37.80% for Q2 2026, up 0.09 percentage points from 37.71% a year earlier and up 0.46 percentage points from the prior quarter.
Genuine Parts (GPC) Gross Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Margin at Genuine Parts was 36.90%, up 0.02 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 Q2 2026 figure stands as the highest quarterly Gross Margin since Q4 2018.
- On a year-over-year basis, Gross Margin increased in six of the last eight quarters, with an average year-over-year change of +0.31 percentage points.
- 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 37.33% (Q1 2026), 34.97% (Q4 2025) and 37.40% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 52.26% |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 33.67% |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 33.41% |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 33.04% |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 33.83% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 33.67% |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 51.45% |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 18.76% |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 52.15% |
| 10 | Genuine Parts | 17.33 Bn | 15.38 Bn | 2.47 Bn | 37.80% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 35.50% |
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();