Genuine Parts (GPC) Cash from Operations (2009 - 2026)
Genuine Parts' Cash from Operations came in at $400.2 million for Q2 2026, up 90.6% from $209.94 million a year earlier and up 526.1% from the prior quarter.
Genuine Parts (GPC) Cash from Operations (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Genuine Parts reported Cash from Operations of $1.19 billion, up 46.7% year-over-year; for FY2025, it was $890.76 million, down 28.8% from FY2024.
- Cash from Operations has declined in each of the last three years, with a five-year compound annual growth rate of -15.1% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $1.25 billion in FY2024 (-12.8%), $1.44 billion in FY2023 (-2.1%), $1.47 billion in FY2022 (+16.6%) and $1.26 billion in FY2021 (-37.5%).
- The Q2 2026 figure represents the highest quarterly Cash from Operations since Q3 2024.
- Year-over-year, Cash from Operations increased in two of the last six quarters, with growth averaging 16.5%.
- The fastest year-over-year change in Cash from Operations over five years came in Q4 2025 (growth of 145.2%), and the weakest in Q4 2021 (a decline of 57.4%).
- Business Quant data shows GPC's Cash from Operations at $63.92 million (Q1 2026), $380.07 million (Q4 2025) and $341.57 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 45.39 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 5.39 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 2.23 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 3.66 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 875.76 Mn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 3.80 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 1.01 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 238.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 801.99 Mn |
| 10 | Genuine Parts | 17.51 Bn | 15.56 Bn | 2.47 Bn | 400.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 400.20 Mn |
| Mar 31, 2026 | 63.92 Mn |
| Dec 31, 2025 | 380.07 Mn |
| Sep 30, 2025 | 341.57 Mn |
| Jun 30, 2025 | 209.94 Mn |
| Mar 31, 2025 | -40.83 Mn |
| Dec 31, 2024 | 155.03 Mn |
| Sep 30, 2024 | 484.31 Mn |
| Jun 30, 2024 | 293.61 Mn |
| Mar 31, 2024 | 318.31 Mn |
| Dec 31, 2023 | 353.16 Mn |
| Sep 30, 2023 | 625.44 Mn |
| Jun 30, 2023 | 259.50 Mn |
| Mar 31, 2023 | 197.51 Mn |
| Dec 31, 2022 | 222.38 Mn |
| Sep 30, 2022 | 453.61 Mn |
| Jun 30, 2022 | 392.18 Mn |
| Mar 31, 2022 | 398.81 Mn |
| Dec 31, 2021 | 250.09 Mn |
| Sep 30, 2021 | 303.77 Mn |
Genuine Parts Cash from Operations 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-from-operations&ticker=GPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();