Stitch Fix (SFIX) Property, Plant & Equipment (Net) (2017 - 2026)
Stitch Fix (SFIX) reported Property, Plant & Equipment (Net) of $40.44 million for fiscal Q4 2026 (quarter ended Aug 1, 2026), down 6.4% from $43.2 million a year earlier and down 2.2% from the prior quarter.
Stitch Fix (SFIX) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
Dating back to fiscal Q4 2017, Stitch Fix's Property, Plant & Equipment (Net) record includes 37 quarters.
- Property, Plant & Equipment (Net) has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -14.2% (FY2021 to FY2026).
- By fiscal year, Property, Plant & Equipment (Net) came in at $43.2 million in FY2025 (-16.1%), $51.52 million in FY2024 (-35.4%), $79.76 million in FY2023 (-22.8%) and $103.38 million in FY2022 (+18.9%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q1 2019.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last 15 quarters, with an average decline of 16.7% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was fiscal Q2 2022 (growth of 42.1%); the low point was fiscal Q4 2024 (a decline of 35.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $41.35 million (Q3 2026), $41.49 million (Q2 2026) and $43.06 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 18.28 Bn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 6.55 Bn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 4.26 Bn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | 34.77 Bn |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 2.86 Bn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 7.80 Bn |
| 10 | Stitch Fix | 363.19 Mn | -468.03 Mn | 141.38 Mn | 40.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 40.44 Mn |
| May 2, 2026 | 41.35 Mn |
| Jan 31, 2026 | 41.49 Mn |
| Nov 1, 2025 | 43.06 Mn |
| Aug 2, 2025 | 43.20 Mn |
| May 3, 2025 | 44.86 Mn |
| Feb 1, 2025 | 46.84 Mn |
| Nov 2, 2024 | 49.20 Mn |
| Aug 3, 2024 | 51.52 Mn |
| Apr 27, 2024 | 57.64 Mn |
| Jan 27, 2024 | 63.52 Mn |
| Oct 28, 2023 | 71.49 Mn |
| Jul 29, 2023 | 79.76 Mn |
| Apr 29, 2023 | 86.56 Mn |
| Jan 28, 2023 | 92.43 Mn |
| Oct 29, 2022 | 99.85 Mn |
| Jul 30, 2022 | 103.38 Mn |
| Apr 30, 2022 | 104.92 Mn |
| Jan 29, 2022 | 104.56 Mn |
| Oct 30, 2021 | 98.98 Mn |
Stitch Fix 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=SFIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "SFIX", "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=SFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();