Stitch Fix (SFIX) Accumulated Expenses (2017 - 2026)
Stitch Fix's (SFIX) quarterly Accumulated Expenses came in at $104.8 million in Q2 2026, up 39.49% year-over-year from $75.2 million in Q2 2025, and down 2.27% quarter-over-quarter from $107.3 million in Q1 2026.
Stitch Fix (SFIX) Accumulated Expenses (2017 - 2026) Analysis & Trends
Stitch Fix has disclosed Accumulated Expenses across 10 years of filings, most recently posting $104.8 million for Q2 2026.
- In Q2 2026, Accumulated Expenses rose 39.49% year-over-year to $104.8 million; the TTM figure through May 2026 stood at $104.8 million (up 39.49% YoY), while the FY2025 annual figure was $76.3 million, up 4.58% from the prior year.
- Accumulated Expenses came in at $104.8 million for Q2 2026 at Stitch Fix, down from $107.3 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $113.0 million in Q2 2022 to a low of $65.0 million in Q2 2024.
- Average Accumulated Expenses over 5 years is $85.6 million, with a median of $78.9 million recorded in 2023.
- Year-over-year, Accumulated Expenses fell 27.97% in 2023 and surged 45.97% in 2025.
- Over 5 years, Accumulated Expenses stood at $97.7 million in 2022, then declined by 23.14% to $75.1 million in 2023, then fell by 7.67% to $69.4 million in 2024, then soared by 45.97% to $101.2 million in 2025, then grew by 3.56% to $104.8 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $104.8 million in Q2 2026, $107.3 million in Q1 2026, and $101.2 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,735.76 Bn | 2,612.77 Bn | 198.88 Bn |
| 2 | JD.com | 32.66 Bn | 9.40 Bn | 16.50 Bn |
| 3 | Coupang | 25.61 Bn | 19.50 Bn | 2.49 Bn |
| 4 | Wayfair | 13.93 Bn | 12.79 Bn | 1.05 Bn |
| 5 | GigaCloud Technology | 3.80 Bn | 3.42 Bn | 105.56 Mn |
| 6 | Pattern | 3.04 Bn | 2.69 Bn | 384.36 Mn |
| 7 | Yunji | 1.88 Bn | 1.86 Bn | - |
| 8 | Revolve | 1.47 Bn | 1.13 Bn | 196.67 Mn |
| 9 | ATRenew | 632.36 Mn | 371.23 Mn | -705.59 Mn |
| 10 | Stitch Fix | 398.30 Mn | 211.49 Mn | 148.84 Mn |
Historic Data
| Date | Value |
|---|---|
| May 2, 2026 | 104.84 Mn |
| Jan 31, 2026 | 107.27 Mn |
| Nov 1, 2025 | 101.24 Mn |
| Aug 2, 2025 | 76.35 Mn |
| May 3, 2025 | 75.16 Mn |
| Feb 1, 2025 | 74.09 Mn |
| Nov 2, 2024 | 69.35 Mn |
| Aug 3, 2024 | 73.01 Mn |
| Apr 27, 2024 | 65.01 Mn |
| Jan 27, 2024 | 75.69 Mn |
| Oct 28, 2023 | 75.11 Mn |
| Jul 29, 2023 | 69.89 Mn |
| Apr 29, 2023 | 81.38 Mn |
| Jan 28, 2023 | 91.86 Mn |
| Oct 29, 2022 | 97.72 Mn |
| Jul 30, 2022 | 94.42 Mn |
| Apr 30, 2022 | 112.99 Mn |
| Jan 29, 2022 | 95.02 Mn |
| Oct 30, 2021 | 115.28 Mn |
| Jul 31, 2021 | 99.03 Mn |
Stitch Fix Accumulated Expenses 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=accumulated-expenses&ticker=SFIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();