Genuine Parts (GPC) Other Operating Expenses (2009 - 2026)
Genuine Parts' Other Operating Expenses came in at $145.71 million for Q2 2026, up 11.5% from $130.64 million a year earlier and up 5.5% from the prior quarter.
Genuine Parts (GPC) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Genuine Parts reported Other Operating Expenses of $606.96 million, up 24.3% year-over-year; for FY2025, it came in at $575.04 million, up 31.3% from FY2024.
- Other Operating Expenses has increased in each of the last four years, though with a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $437.98 million in FY2024 (+16.3%), $376.48 million in FY2023 (+2.4%), $367.61 million in FY2022 (+19.1%) and $308.71 million in FY2021 (-61.6%).
- The five-year range for quarterly Other Operating Expenses is $76.1 million (Q4 2021) to $188.76 million (Q4 2025).
- Year-over-year, Other Operating Expenses has increased for ten consecutive quarters, with growth averaging 25.4% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q4 2025 (growth of 53.3%), and the weakest in Q4 2023 (a decline of 2.2%).
- Business Quant data shows GPC's Other Operating Expenses at $138.13 million (Q1 2026), $188.76 million (Q4 2025) and $134.35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 145.71 Mn |
| Mar 31, 2026 | 138.13 Mn |
| Dec 31, 2025 | 188.76 Mn |
| Sep 30, 2025 | 134.35 Mn |
| Jun 30, 2025 | 130.64 Mn |
| Mar 31, 2025 | 121.29 Mn |
| Dec 31, 2024 | 123.12 Mn |
| Sep 30, 2024 | 113.16 Mn |
| Jun 30, 2024 | 104.88 Mn |
| Mar 31, 2024 | 96.82 Mn |
| Dec 31, 2023 | 92.15 Mn |
| Sep 30, 2023 | 92.28 Mn |
| Jun 30, 2023 | 99.20 Mn |
| Mar 31, 2023 | 92.85 Mn |
| Dec 31, 2022 | 94.25 Mn |
| Sep 30, 2022 | 92.71 Mn |
| Jun 30, 2022 | 88.79 Mn |
| Mar 31, 2022 | 91.86 Mn |
| Dec 31, 2021 | 76.10 Mn |
| Sep 30, 2021 | 76.41 Mn |
Genuine Parts Other Operating Expenses 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=other-operating-expenses&ticker=GPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();