Fox Factory Holding (FOXF) Property, Plant & Equipment (Net) (2012 - 2026)
Fox Factory Holding (FOXF) posted Property, Plant & Equipment (Net) of $211.14 million for Q2 2027, down 14.7% from $247.47 million a year earlier and down 4.2% from the prior quarter.
Fox Factory Holding (FOXF) Property, Plant & Equipment (Net) (2012 - 2026) Analysis & Trends
At the end of FY2026, Fox Factory Holding's Property, Plant & Equipment (Net) came in at $234.64 million, down 4.8% from FY2025.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 4.1% (FY2021 to FY2026).
- In prior years, Fox Factory Holding's Property, Plant & Equipment (Net) was $246.39 million in FY2025, $237.19 million in FY2023 (+17.3%) and $202.22 million in FY2022 (+5.3%).
- The Q2 2027 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q3 2021.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last four quarters, with an average decline of 3.9% over the last six quarters.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $220.3 million (Q1 2027), $234.64 million (Q4 2026) and $240.46 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 1.18 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.88 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.24 Bn |
| 10 | Fox Factory Holding | 783.88 Mn | 545.09 Mn | 109.69 Mn | 211.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 211.14 Mn |
| Apr 3, 2026 | 220.30 Mn |
| Jan 2, 2026 | 234.64 Mn |
| Oct 3, 2025 | 240.46 Mn |
| Jul 4, 2025 | 247.47 Mn |
| Apr 4, 2025 | 242.62 Mn |
| Jan 3, 2025 | 246.39 Mn |
| Sep 27, 2024 | 243.22 Mn |
| Jun 28, 2024 | 238.02 Mn |
| Mar 29, 2024 | 237.36 Mn |
| Dec 29, 2023 | 237.19 Mn |
| Sep 29, 2023 | 211.14 Mn |
| Jun 30, 2023 | 211.58 Mn |
| Mar 31, 2023 | 210.30 Mn |
| Dec 30, 2022 | 202.22 Mn |
| Sep 30, 2022 | 199.57 Mn |
| Jul 1, 2022 | 194.60 Mn |
| Apr 1, 2022 | 193.61 Mn |
| Dec 31, 2021 | 192.00 Mn |
| Oct 1, 2021 | 183.70 Mn |
Fox Factory Holding Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=FOXF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=FOXF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();