Genuine Parts (GPC) Net Margin (2009 - 2026)
Genuine Parts' Net Margin was 3.48% in Q2 2026, down 0.65 percentage points from 4.13% a year earlier but up 0.47 percentage points from the prior quarter.
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Analysis
Genuine Parts (GPC) Net Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Genuine Parts' Net Margin was 0.13% through Jun 30, 2026, down 3.27 percentage points year-over-year; for FY2025, it was 0.27%, down 3.58 percentage points from FY2024.
- Net Margin shows a five-year change of +0.45 percentage points (FY2020 to FY2025).
- In earlier years, Net Margin was 3.85% in FY2024 (-1.85 pp), 5.70% in FY2023 (+0.35 pp), 5.35% in FY2022 (+0.59 pp) and 4.76% in FY2021 (+4.94 pp).
- Quarterly Net Margin has moved between -10.14% (Q4 2025) and 6.65% (Q2 2022) over five years.
- Compared with a year earlier, Net Margin has declined for ten straight quarters, with an average year-over-year change of -2.63 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was Q2 2022 (a gain of 2.54 percentage points); the worst was Q4 2025 (a drop of 12.45 percentage points).
- Per Business Quant data, GPC's Net Margin in the three quarters before Q2 2026 was 3.01% (Q1 2026), -10.14% (Q4 2025) and 3.61% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 31.23% |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 9.96% |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 10.01% |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 9.24% |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 13.59% |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 14.62% |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 7.07% |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 13.25% |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 4.20% |
| 10 | Genuine Parts | 17.21 Bn | 14.91 Bn | 2.48 Bn | 3.44% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.44% |
| Jun 30, 2026 | 3.48% |
| Mar 31, 2026 | 3.01% |
| Dec 31, 2025 | -10.14% |
| Sep 30, 2025 | 3.61% |
| Jun 30, 2025 | 4.13% |
| Mar 31, 2025 | 3.31% |
| Dec 31, 2024 | 2.31% |
| Sep 30, 2024 | 3.80% |
| Jun 30, 2024 | 4.96% |
| Mar 31, 2024 | 4.30% |
| Dec 31, 2023 | 5.67% |
| Sep 30, 2023 | 6.03% |
| Jun 30, 2023 | 5.82% |
| Mar 31, 2023 | 5.27% |
| Dec 31, 2022 | 4.56% |
| Sep 30, 2022 | 5.50% |
| Jun 30, 2022 | 6.65% |
| Mar 31, 2022 | 4.64% |
| Dec 31, 2021 | 5.33% |
API Access
Genuine Parts Net 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=net-margin&ticker=GPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();