Stitch Fix (SFIX) Operating Expenses (2016 - 2026)
Stitch Fix (SFIX) recorded Operating Expenses of $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.
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Analysis
Stitch Fix (SFIX) Operating Expenses (2016 - 2026) Analysis & Trends
For FY2026 (ended Aug 1, 2026), Stitch Fix reported Operating Expenses of $610.19 million, up 1.4% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of -9.6% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $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 is the lowest quarterly Operating Expenses since fiscal Q4 2018.
- On a year-over-year basis, Operating Expenses rose in two of the last eight quarters, with an average decline of 7.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 15.0% in fiscal Q1 2022, against a decline of 35.8% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $152.85 million (Q3 2026), $153.69 million (Q2 2026) and $157.9 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Stitch Fix | 373.88 Mn | -457.35 Mn | 141.38 Mn | 145.75 Mn |
Historic Data
Download Data
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 |
API Access
Stitch Fix Operating 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=operating-expenses&ticker=SFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();