Genuine Parts (GPC) Selling, General & Administrative (2009 - 2026)
Genuine Parts (GPC) recorded Selling, General & Administrative of $1.94 billion in Q3 2026, up 7.7% from $1.81 billion a year earlier and up 1.4% 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 $7.58 billion as of Sep 30, 2026, up 8.6% 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 Q3 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 11 consecutive quarters, with growth averaging 8.3% 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 $1.92 billion (Q2 2026), $1.86 billion (Q1 2026) and $1.86 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 2.70 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 805.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 1.02 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 5.73 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 1.58 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 2.20 Bn |
| 10 | Genuine Parts | 17.20 Bn | 14.91 Bn | 2.48 Bn | 1.94 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.94 Bn |
| 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 |
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();