Stitch Fix (SFIX) Accumulated Expenses (2017 - 2026)
Stitch Fix (SFIX) recorded Accumulated Expenses of $109.77 million in fiscal Q4 2026 (quarter ended Aug 1, 2026), up 43.8% from $76.35 million a year earlier and up 4.7% from the prior quarter.
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Analysis
Stitch Fix (SFIX) Accumulated Expenses (2017 - 2026) Analysis & Trends
Starting with fiscal Q4 2017, Stitch Fix's Accumulated Expenses history includes 37 quarters.
- Annual Accumulated Expenses has increased for three straight fiscal years, with a five-year compound annual growth rate of 2.1% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $76.35 million in FY2025 (+4.6%), $73.01 million in FY2024 (+4.5%), $69.89 million in FY2023 (-26.0%) and $94.42 million in FY2022 (-4.7%).
- The fiscal Q4 2026 figure is the highest quarterly Accumulated Expenses since fiscal Q3 2022.
- On a year-over-year basis, Accumulated Expenses has increased for six consecutive quarters, with growth averaging 23.1% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 46.0% in fiscal Q1 2026, against a decline of 28.0% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $104.84 million (Q3 2026), $107.27 million (Q2 2026) and $101.24 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn |
| 10 | Stitch Fix | 347.70 Mn | -483.52 Mn | 141.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 109.77 Mn |
| 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 |
API Access
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_KEYimport 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();