Genuine Parts (GPC) Shares Outstanding (2009 - 2026)
Genuine Parts' Shares Outstanding was 137.77 million in Q2 2026, down 0.9% from 138.99 million a year earlier but up 0.1% from the prior quarter.
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Analysis
Genuine Parts (GPC) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Genuine Parts came in at 138.95 million, down 0.2% from FY2024.
- Shares Outstanding has now declined for 16 consecutive years, with a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 139.21 million in FY2024 (-0.8%), 140.37 million in FY2023 (-0.8%), 141.47 million in FY2022 (-1.4%) and 143.44 million in FY2021 (-0.7%).
- Quarterly Shares Outstanding has moved between 137.62 million (Q1 2026) and 143.44 million (Q4 2021) over five years.
- Compared with a year earlier, Shares Outstanding has declined for 20 straight quarters, with an average decline of 0.5% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding ran from 0.1% in Q3 2025 to 1.8% in Q2 2022.
- Per Business Quant data, GPC's Shares Outstanding in the three quarters before Q2 2026 was 137.62 million (Q1 2026), 138.95 million (Q4 2025) and 139.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 317.69 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.40 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 825.20 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 717.69 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.47 Mn |
| 10 | Genuine Parts | 17.33 Bn | 15.38 Bn | 2.47 Bn | 137.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.77 Mn |
| Mar 31, 2026 | 137.62 Mn |
| Dec 31, 2025 | 138.95 Mn |
| Sep 30, 2025 | 139.10 Mn |
| Jun 30, 2025 | 138.99 Mn |
| Mar 31, 2025 | 138.78 Mn |
| Dec 31, 2024 | 139.21 Mn |
| Sep 30, 2024 | 139.19 Mn |
| Jun 30, 2024 | 139.36 Mn |
| Mar 31, 2024 | 139.43 Mn |
| Dec 31, 2023 | 140.37 Mn |
| Sep 30, 2023 | 140.34 Mn |
| Jun 30, 2023 | 140.57 Mn |
| Mar 31, 2023 | 140.80 Mn |
| Dec 31, 2022 | 141.47 Mn |
| Sep 30, 2022 | 141.34 Mn |
| Jun 30, 2022 | 141.58 Mn |
| Mar 31, 2022 | 141.92 Mn |
| Dec 31, 2021 | 143.44 Mn |
| Sep 30, 2021 | 142.87 Mn |
API Access
Genuine Parts Shares Outstanding 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&ticker=GPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();