Stitch Fix (SFIX) Selling, General & Administrative (2016 - 2026)
Stitch Fix's Selling, General & Administrative was $145.75 million in fiscal Q4 2026 (quarter ended Aug 1, 2026), down 0.8% from $146.92 million a year earlier and down 4.6% from the prior quarter.
Stitch Fix (SFIX) Selling, General & Administrative (2016 - 2026) Analysis & Trends
For FY2026 (ended Aug 1, 2026), Selling, General & Administrative at Stitch Fix came in at $610.19 million, up 1.4% from FY2025.
- Selling, General & Administrative shows a five-year compound annual growth rate of -9.6% (FY2021 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $601.84 million in FY2025 (-17.0%), $725.47 million in FY2024 (-12.7%), $830.89 million in FY2023 (-22.4%) and $1.07 billion in FY2022 (+5.9%).
- The fiscal Q4 2026 figure marks the lowest quarterly Selling, General & Administrative since fiscal Q4 2018.
- Compared with a year earlier, Selling, General & Administrative was higher in two of the last eight quarters, with an average decline of 7.8%.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q1 2022 (growth of 15.0%); the worst was fiscal Q3 2023 (a decline of 35.8%).
- Per Business Quant data, SFIX's Selling, General & Administrative in the three fiscal quarters before Q4 2026 was $152.85 million (Q3 2026), $153.69 million (Q2 2026) and $157.9 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn | 4.46 Bn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn | 1.53 Bn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | 1.02 Bn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Stitch Fix | 363.14 Mn | -468.09 Mn | 141.38 Mn | 145.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 145.75 Mn |
| May 2, 2026 | 152.85 Mn |
| Jan 31, 2026 | 153.69 Mn |
| Nov 1, 2025 | 157.90 Mn |
| Aug 2, 2025 | 146.92 Mn |
| May 3, 2025 | 153.27 Mn |
| Feb 1, 2025 | 147.89 Mn |
| Nov 2, 2024 | 153.77 Mn |
| Aug 3, 2024 | 184.37 Mn |
| Apr 27, 2024 | 171.82 Mn |
| Jan 27, 2024 | 181.52 Mn |
| Oct 28, 2023 | 187.76 Mn |
| Jul 29, 2023 | 183.82 Mn |
| Apr 29, 2023 | 184.20 Mn |
| Jan 28, 2023 | 227.04 Mn |
| Oct 29, 2022 | 235.85 Mn |
| Jul 30, 2022 | 245.90 Mn |
| Apr 30, 2022 | 286.97 Mn |
| Jan 29, 2022 | 263.50 Mn |
| Oct 30, 2021 | 274.77 Mn |
Stitch Fix 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=SFIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();