Genuine Parts (GPC) Dividends payables (2009 - 2026)
Genuine Parts (GPC) posted Dividends payables of $148.07 million for Q2 2026, up 3.4% from $143.27 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Genuine Parts (GPC) Dividends payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Genuine Parts' Dividends payables came in at $143.29 million, up 6.7% from FY2024.
- Annual Dividends payables has increased for 16 consecutive years, with a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- In prior years, Genuine Parts' Dividends payables was $134.36 million in FY2024 (+1.3%), $132.64 million in FY2023 (+5.1%), $126.19 million in FY2022 (+8.9%) and $115.88 million in FY2021 (+1.6%).
- The Q2 2026 figure stands as the highest quarterly Dividends payables in data going back to Q4 2009.
- On a year-over-year basis, Dividends payables has increased in each of the last 63 quarters, with growth averaging 3.4% over the last eight quarters.
- The year-over-year growth in Dividends payables has ranged between 1.3% (Q4 2024) and 8.9% (Q4 2022) over the last five years.
- According to Business Quant data, Dividends payables for the three prior quarters was $147.82 million (Q1 2026), $143.29 million (Q4 2025) and $143.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | - |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | - |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Genuine Parts | 17.33 Bn | 15.38 Bn | 2.47 Bn | 148.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148.07 Mn |
| Mar 31, 2026 | 147.82 Mn |
| Dec 31, 2025 | 143.29 Mn |
| Sep 30, 2025 | 143.27 Mn |
| Jun 30, 2025 | 143.27 Mn |
| Mar 31, 2025 | 142.95 Mn |
| Dec 31, 2024 | 134.36 Mn |
| Sep 30, 2024 | 139.11 Mn |
| Jun 30, 2024 | 139.38 Mn |
| Mar 31, 2024 | 139.39 Mn |
| Dec 31, 2023 | 132.64 Mn |
| Sep 30, 2023 | 133.25 Mn |
| Jun 30, 2023 | 133.49 Mn |
| Mar 31, 2023 | 133.74 Mn |
| Dec 31, 2022 | 126.19 Mn |
| Sep 30, 2022 | 126.43 Mn |
| Jun 30, 2022 | 126.72 Mn |
| Mar 31, 2022 | 126.89 Mn |
| Dec 31, 2021 | 115.88 Mn |
| Sep 30, 2021 | 116.36 Mn |
API Access
Genuine Parts Dividends payables 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-payables&ticker=GPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "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-payables&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();