Stitch Fix (SFIX) Total Liabilities (2017 - 2026)
Stitch Fix (SFIX) reported Total Liabilities of $283.32 million for fiscal Q4 2026 (quarter ended Aug 1, 2026), up 2.0% from $277.64 million a year earlier but down 7.0% from the prior quarter.
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Analysis
Stitch Fix (SFIX) Total Liabilities (2017 - 2026) Analysis & Trends
Dating back to fiscal Q4 2017, Stitch Fix's Total Liabilities record includes 37 quarters.
- Total Liabilities has a five-year compound annual growth rate of -4.6% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $277.64 million in FY2025 (-7.4%), $299.84 million in FY2024 (-18.3%), $367.17 million in FY2023 (-16.9%) and $441.88 million in FY2022 (+23.3%).
- Five-year quarterly Total Liabilities spans a low of $274.88 million in fiscal Q2 2025 and a high of $474.14 million in fiscal Q3 2022.
- Year over year, Total Liabilities has now increased in each of the last four quarters, with an average decline of 4.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2022 (growth of 23.3%); the low point was fiscal Q2 2024 (a decline of 19.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $304.57 million (Q3 2026), $298.48 million (Q2 2026) and $326.66 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,887.17 Bn | 2,383.84 Bn | 107.37 Bn | 629.79 Bn |
| 2 | Home Depot | 352.83 Bn | 346.07 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 152.69 Bn | 130.24 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 129.94 Bn | 122.90 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Target | 75.44 Bn | 70.03 Bn | 8.94 Bn | 43.39 Bn |
| 6 | Ross Stores | 75.40 Bn | 58.32 Bn | 2.12 Bn | 9.24 Bn |
| 7 | O Reilly Automotive | 74.28 Bn | 73.37 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 54.79 Bn | 44.38 Bn | 1.52 Bn | 9.54 Bn |
| 9 | Autozone | 53.72 Bn | 52.57 Bn | 3.52 Bn | 24.13 Bn |
| 10 | Stitch Fix | 392.67 Mn | -438.55 Mn | 141.38 Mn | 283.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 283.32 Mn |
| May 2, 2026 | 304.57 Mn |
| Jan 31, 2026 | 298.48 Mn |
| Nov 1, 2025 | 326.66 Mn |
| Aug 2, 2025 | 277.64 Mn |
| May 3, 2025 | 284.36 Mn |
| Feb 1, 2025 | 274.88 Mn |
| Nov 2, 2024 | 316.62 Mn |
| Aug 3, 2024 | 299.84 Mn |
| Apr 27, 2024 | 328.08 Mn |
| Jan 27, 2024 | 325.05 Mn |
| Oct 28, 2023 | 393.30 Mn |
| Jul 29, 2023 | 367.17 Mn |
| Apr 29, 2023 | 406.19 Mn |
| Jan 28, 2023 | 405.32 Mn |
| Oct 29, 2022 | 449.92 Mn |
| Jul 30, 2022 | 441.88 Mn |
| Apr 30, 2022 | 474.14 Mn |
| Jan 29, 2022 | 437.17 Mn |
| Oct 30, 2021 | 450.83 Mn |
API Access
Stitch Fix Total Liabilities 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=total-liabilities&ticker=SFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();