Genuine Parts (GPC) Cash & Equivalents (2009 - 2026)
Genuine Parts' Cash & Equivalents was $559.12 million in Q2 2026, up 22.1% from $457.99 million a year earlier and up 11.8% from the prior quarter.
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Analysis
Genuine Parts (GPC) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Genuine Parts came in at $477.18 million, down 0.6% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -13.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $479.99 million in FY2024 (-56.4%), $1.1 billion in FY2023 (+68.6%), $653.46 million in FY2022 (-8.6%) and $714.7 million in FY2021 (-27.8%).
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents since Q3 2024.
- Compared with a year earlier, Cash & Equivalents was higher in three of the last eight quarters, with an average decline of 11.1%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2023 (growth of 68.6%); the worst was Q3 2025 (a decline of 60.0%).
- Per Business Quant data, GPC's Cash & Equivalents in the three quarters before Q2 2026 was $500.02 million (Q1 2026), $477.18 million (Q4 2025) and $431.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 4.29 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 | 262.18 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Genuine Parts | 17.33 Bn | 15.38 Bn | 2.47 Bn | 559.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 559.12 Mn |
| Mar 31, 2026 | 500.02 Mn |
| Dec 31, 2025 | 477.18 Mn |
| Sep 30, 2025 | 431.36 Mn |
| Jun 30, 2025 | 457.99 Mn |
| Mar 31, 2025 | 420.45 Mn |
| Dec 31, 2024 | 479.99 Mn |
| Sep 30, 2024 | 1.08 Bn |
| Jun 30, 2024 | 555.28 Mn |
| Mar 31, 2024 | 1.05 Bn |
| Dec 31, 2023 | 1.10 Bn |
| Sep 30, 2023 | 654.64 Mn |
| Jun 30, 2023 | 530.11 Mn |
| Mar 31, 2023 | 651.18 Mn |
| Dec 31, 2022 | 653.46 Mn |
| Sep 30, 2022 | 629.20 Mn |
| Jun 30, 2022 | 519.13 Mn |
| Mar 31, 2022 | 610.78 Mn |
| Dec 31, 2021 | 714.70 Mn |
| Sep 30, 2021 | 919.10 Mn |
API Access
Genuine Parts Cash & Equivalents 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=cash-and-equivalents&ticker=GPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();