Genuine Parts (GPC) Capital Expenditures (2009 - 2026)
Genuine Parts (GPC) recorded Capital Expenditures of $109.09 million in Q3 2026, up 7.3% from $101.62 million a year earlier and up 1.2% from the prior quarter.
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Analysis
Genuine Parts (GPC) Capital Expenditures (2009 - 2026) Analysis & Trends
On a TTM basis, Genuine Parts' Capital Expenditures came in at $433.87 million as of Sep 30, 2026, down 18.5% year-over-year; for FY2025, it came in at $469.84 million, down 17.2% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 25.1% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $567.34 million in FY2024 (+10.7%), $512.68 million in FY2023 (+51.0%), $339.63 million in FY2022 (+27.6%) and $266.14 million in FY2021 (+73.4%).
- Quarterly Capital Expenditures has ranged from $74.93 million in Q2 2022 to $181.75 million in Q4 2024 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in three of the last eight quarters, with an average decline of 9.6%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 166.1% in Q4 2021, against a decline of 34.3% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $107.84 million (Q2 2026), $97.55 million (Q1 2026) and $119.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 77.26 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | 251.26 Mn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | 307.60 Mn |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | 1.37 Bn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | 64.00 Mn |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | 436.10 Mn |
| 10 | Genuine Parts | 17.21 Bn | 14.91 Bn | 2.48 Bn | 109.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 109.09 Mn |
| Jun 30, 2026 | 107.84 Mn |
| Mar 31, 2026 | 97.55 Mn |
| Dec 31, 2025 | 119.40 Mn |
| Sep 30, 2025 | 101.62 Mn |
| Jun 30, 2025 | 128.98 Mn |
| Mar 31, 2025 | 119.84 Mn |
| Dec 31, 2024 | 181.75 Mn |
| Sep 30, 2024 | 126.35 Mn |
| Jun 30, 2024 | 143.56 Mn |
| Mar 31, 2024 | 115.69 Mn |
| Dec 31, 2023 | 162.82 Mn |
| Sep 30, 2023 | 144.52 Mn |
| Jun 30, 2023 | 117.24 Mn |
| Mar 31, 2023 | 88.10 Mn |
| Dec 31, 2022 | 95.63 Mn |
| Sep 30, 2022 | 91.02 Mn |
| Jun 30, 2022 | 74.93 Mn |
| Mar 31, 2022 | 78.05 Mn |
| Dec 31, 2021 | 127.93 Mn |
API Access
Genuine Parts Capital Expenditures 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=capital-expenditures&ticker=GPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();