Genuine Parts (GPC) Shares Outstanding (Diluted) (2009 - 2026)
Genuine Parts (GPC) reported Weighted Average Shares Outstanding (Diluted) of 138.33 million for Q3 2026, down 0.8% from 139.41 million a year earlier but up 0.3% from the prior quarter.
Genuine Parts (GPC) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Genuine Parts posted Weighted Average Shares Outstanding (Diluted) of 139.25 million, down 0.3% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has declined for 16 consecutive years, with a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 139.67 million in FY2024 (-1.0%), 141.03 million in FY2023 (-0.9%), 142.32 million in FY2022 (-1.3%) and 144.22 million in FY2021 (-0.6%).
- Five-year quarterly Weighted Average Shares Outstanding (Diluted) spans a low of 137.98 million in Q2 2026 and a high of 144.22 million in Q4 2021.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now declined in each of the last 21 quarters, with an average decline of 0.6% over the last eight quarters.
- The year-over-year decline in Weighted Average Shares Outstanding (Diluted) has ranged between 0.1% (Q3 2025) and 1.8% (Q2 2022) over the last five years.
- Per Business Quant data, the three quarters before Q3 2026 came in at 137.98 million (Q2 2026), 138.03 million (Q1 2026) and 139.25 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 10.93 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 739.91 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 319.45 Mn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 456.60 Mn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 812.20 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 16.87 Mn |
| 10 | Genuine Parts | 17.20 Bn | 14.91 Bn | 2.48 Bn | 138.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 138.33 Mn |
| Jun 30, 2026 | 137.98 Mn |
| Mar 31, 2026 | 138.03 Mn |
| Dec 31, 2025 | 139.25 Mn |
| Sep 30, 2025 | 139.41 Mn |
| Jun 30, 2025 | 139.24 Mn |
| Mar 31, 2025 | 139.20 Mn |
| Dec 31, 2024 | 139.67 Mn |
| Sep 30, 2024 | 139.60 Mn |
| Jun 30, 2024 | 139.83 Mn |
| Mar 31, 2024 | 140.10 Mn |
| Dec 31, 2023 | 141.03 Mn |
| Sep 30, 2023 | 140.93 Mn |
| Jun 30, 2023 | 141.25 Mn |
| Mar 31, 2023 | 141.73 Mn |
| Dec 31, 2022 | 142.32 Mn |
| Sep 30, 2022 | 142.11 Mn |
| Jun 30, 2022 | 142.30 Mn |
| Mar 31, 2022 | 142.84 Mn |
| Dec 31, 2021 | 144.22 Mn |
Genuine Parts Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=GPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();