Fox Factory Holding (FOXF) Selling, General & Administrative (2012 - 2026)
Fox Factory Holding (FOXF) posted Selling, General & Administrative of $34.2 million for Q2 2027, down 12.4% from $39.04 million a year earlier and down 11.5% from the prior quarter.
Fox Factory Holding (FOXF) Selling, General & Administrative (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Selling, General & Administrative at Fox Factory Holding was $148.3 million, up 4.5% year-over-year; for FY2026, it came in at $151.83 million, up 8.6% from FY2025.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 9.3% (FY2021 to FY2026).
- In prior years, Fox Factory Holding's Selling, General & Administrative was $139.86 million in FY2025, $124.58 million in FY2023 (+7.3%) and $116.1 million in FY2022 (+19.4%).
- The Q2 2027 figure stands as the lowest quarterly Selling, General & Administrative since Q4 2025.
- On a year-over-year basis, Selling, General & Administrative increased in four of the last six quarters, with growth averaging 4.5%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $38.65 million (Q1 2027), $37.79 million (Q4 2026) and $37.66 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 494.40 Mn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 1.06 Bn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | - |
| 10 | Fox Factory Holding | 772.11 Mn | 533.32 Mn | 109.69 Mn | 34.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 34.20 Mn |
| Apr 3, 2026 | 38.65 Mn |
| Jan 2, 2026 | 37.79 Mn |
| Oct 3, 2025 | 37.66 Mn |
| Jul 4, 2025 | 39.04 Mn |
| Apr 4, 2025 | 37.33 Mn |
| Jan 3, 2025 | 33.04 Mn |
| Sep 27, 2024 | 32.44 Mn |
| Jun 28, 2024 | 36.96 Mn |
| Mar 29, 2024 | 37.42 Mn |
| Dec 29, 2023 | 34.89 Mn |
| Sep 29, 2023 | 25.71 Mn |
| Jun 30, 2023 | 30.22 Mn |
| Mar 31, 2023 | 33.76 Mn |
| Dec 30, 2022 | 32.92 Mn |
| Sep 30, 2022 | 29.17 Mn |
| Jul 1, 2022 | 28.44 Mn |
| Apr 1, 2022 | 25.57 Mn |
| Dec 31, 2021 | 27.03 Mn |
| Oct 1, 2021 | 25.61 Mn |
Fox Factory Holding 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=FOXF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "FOXF", "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=FOXF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();