Stitch Fix (SFIX) Change in Accured Expenses (2016 - 2026)
Stitch Fix (SFIX) posted Change in Accured Expenses of $4.92 million for fiscal Q4 2026 (quarter ended Aug 1, 2026), up 408.3% from $968,000 a year earlier.
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Analysis
Stitch Fix (SFIX) Change in Accured Expenses (2016 - 2026) Analysis & Trends
For FY2026 (ended Aug 1, 2026), Stitch Fix's Change in Accured Expenses came in at $1.36 million, down 56.7% from FY2025.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -42.7% (FY2021 to FY2026).
- In prior fiscal years, Stitch Fix's Change in Accured Expenses was $3.15 million in FY2025 (-40.6%), $5.3 million in FY2024, -$19.7 million in FY2023 and -$4.87 million in FY2022.
- Quarterly Change in Accured Expenses has run from a low of -$20.46 million in fiscal Q2 2022 to a high of $19.33 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 196.6%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q3 2022, with growth of 798.4%; the weakest was fiscal Q4 2025, with a decline of 87.9%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was -$2.41 million (Q3 2026), $6.01 million (Q2 2026) and -$7.16 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,699.85 Bn | 2,216.54 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 327.03 Bn | 320.28 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 162.28 Bn | 139.83 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 114.66 Bn | 107.62 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.66 Bn | 58.58 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 75.09 Bn | 74.17 Bn | 2.52 Bn | - |
| 7 | Target | 71.82 Bn | 66.41 Bn | 8.94 Bn | 595.00 Mn |
| 8 | Carvana | 64.53 Bn | 56.13 Bn | 1.38 Bn | 199.00 Mn |
| 9 | Autozone | 53.43 Bn | 52.33 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Stitch Fix | 385.89 Mn | -445.33 Mn | 141.38 Mn | 4.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 4.92 Mn |
| May 2, 2026 | -2.41 Mn |
| Jan 31, 2026 | 6.01 Mn |
| Nov 1, 2025 | -7.16 Mn |
| Aug 2, 2025 | 968,000.00 |
| May 3, 2025 | 1.42 Mn |
| Feb 1, 2025 | 4.27 Mn |
| Nov 2, 2024 | -3.51 Mn |
| Aug 3, 2024 | 7.99 Mn |
| Apr 27, 2024 | -11.00 Mn |
| Jan 27, 2024 | 813,000.00 |
| Oct 28, 2023 | 7.50 Mn |
| Jul 29, 2023 | -7.06 Mn |
| Apr 29, 2023 | -9.33 Mn |
| Jan 28, 2023 | -7.59 Mn |
| Oct 29, 2022 | 4.28 Mn |
| Jul 30, 2022 | -19.93 Mn |
| Apr 30, 2022 | 19.33 Mn |
| Jan 29, 2022 | -20.46 Mn |
| Oct 30, 2021 | 16.19 Mn |
API Access
Stitch Fix Change in Accured 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=change-in-accured-expenses&ticker=SFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();