Genuine Parts (GPC) Selling, General & Administrative (2009 - 2026)
Genuine Parts (GPC) recorded Selling, General & Administrative of $1.92 billion in Q2 2026, up 8.3% from $1.77 billion a year earlier and up 3.3% from the prior quarter.
Genuine Parts (GPC) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Genuine Parts' Selling, General & Administrative came in at $7.44 billion as of Jun 30, 2026, up 7.9% year-over-year; for FY2025, it was $7.15 billion, up 7.6% from FY2024.
- Annual Selling, General & Administrative has increased for five straight years, with a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $6.64 billion in FY2024 (+7.7%), $6.17 billion in FY2023 (+7.1%), $5.76 billion in FY2022 (+11.5%) and $5.16 billion in FY2021 (+17.7%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2009.
- On a year-over-year basis, Selling, General & Administrative has increased for ten consecutive quarters, with growth averaging 8.8% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 19.7% in Q4 2022, against a decline of 0.6% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.86 billion (Q1 2026), $1.86 billion (Q4 2025) and $1.81 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Genuine Parts | 17.33 Bn | 15.38 Bn | 2.47 Bn | 1.92 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.92 Bn |
| Mar 31, 2026 | 1.86 Bn |
| Dec 31, 2025 | 1.86 Bn |
| Sep 30, 2025 | 1.81 Bn |
| Jun 30, 2025 | 1.77 Bn |
| Mar 31, 2025 | 1.71 Bn |
| Dec 31, 2024 | 1.70 Bn |
| Sep 30, 2024 | 1.72 Bn |
| Jun 30, 2024 | 1.65 Bn |
| Mar 31, 2024 | 1.57 Bn |
| Dec 31, 2023 | 1.52 Bn |
| Sep 30, 2023 | 1.55 Bn |
| Jun 30, 2023 | 1.58 Bn |
| Mar 31, 2023 | 1.51 Bn |
| Dec 31, 2022 | 1.53 Bn |
| Sep 30, 2022 | 1.46 Bn |
| Jun 30, 2022 | 1.36 Bn |
| Mar 31, 2022 | 1.40 Bn |
| Dec 31, 2021 | 1.28 Bn |
| Sep 30, 2021 | 1.34 Bn |
Genuine Parts Selling, General & Administrative 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=selling-general-and-administrative&ticker=GPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();