Genuine Parts (GPC) Dividends Paid - Common and Preferred (2009 - 2026)
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Analysis
Genuine Parts (GPC) Dividends Paid - Common and Preferred (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | - |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 2.32 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 531.00 Mn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 672.00 Mn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | - |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 142.63 Mn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 518.00 Mn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | - |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | - |
| 10 | Genuine Parts | 17.20 Bn | 14.91 Bn | 2.48 Bn | 146.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 146.47 Mn |
| Jun 30, 2026 | 146.23 Mn |
| Mar 31, 2026 | 141.75 Mn |
| Dec 31, 2025 | 143.27 Mn |
| Sep 30, 2025 | 143.27 Mn |
| Jun 30, 2025 | 142.95 Mn |
| Mar 31, 2025 | 134.36 Mn |
| Dec 31, 2024 | 143.54 Mn |
| Sep 30, 2024 | 139.38 Mn |
| Jun 30, 2024 | 139.39 Mn |
| Mar 31, 2024 | 132.64 Mn |
| Dec 31, 2023 | 133.25 Mn |
| Sep 30, 2023 | 133.49 Mn |
| Jun 30, 2023 | 133.74 Mn |
| Mar 31, 2023 | 126.19 Mn |
| Dec 31, 2022 | 126.43 Mn |
| Sep 30, 2022 | 126.72 Mn |
| Jun 30, 2022 | 126.89 Mn |
| Mar 31, 2022 | 115.88 Mn |
| Dec 31, 2021 | 116.36 Mn |
API Access
Genuine Parts Dividends Paid - Common and Preferred 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=dividends-paid-common-and-prefferd&ticker=GPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "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=dividends-paid-common-and-prefferd&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();