Stitch Fix (SFIX) Total Current Liabilities (2017 - 2026)
Stitch Fix's Total Current Liabilities came in at $235.67 million for fiscal Q4 2026 (quarter ended Aug 1, 2026), up 14.3% from $206.23 million a year earlier but down 6.0% from the prior quarter.
Powered by 
Analysis
Stitch Fix (SFIX) Total Current Liabilities (2017 - 2026) Analysis & Trends
Going back to fiscal Q4 2017, Stitch Fix's Total Current Liabilities data covers 37 quarters.
- Total Current Liabilities carries a five-year compound annual growth rate of 0.6% (FY2021 to FY2026).
- Going back by fiscal year, Total Current Liabilities was $206.23 million in FY2025 (+1.3%), $203.55 million in FY2024 (-14.5%), $238.11 million in FY2023 (-19.4%) and $295.57 million in FY2022 (+29.5%).
- The five-year range for quarterly Total Current Liabilities is $191.15 million (fiscal Q2 2025) to $316.99 million (fiscal Q3 2022).
- Year-over-year, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 5.8% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q4 2022 (growth of 29.5%), and the weakest in fiscal Q2 2024 (a decline of 19.7%).
- Business Quant data shows SFIX's Total Current Liabilities at $250.73 million (Q3 2026), $238.82 million (Q2 2026) and $261.6 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 4.89 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 9.57 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 21.18 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 10.04 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 2.04 Bn |
| 10 | Stitch Fix | 373.88 Mn | -457.35 Mn | 141.38 Mn | 235.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 235.67 Mn |
| May 2, 2026 | 250.73 Mn |
| Jan 31, 2026 | 238.82 Mn |
| Nov 1, 2025 | 261.60 Mn |
| Aug 2, 2025 | 206.23 Mn |
| May 3, 2025 | 206.82 Mn |
| Feb 1, 2025 | 191.15 Mn |
| Nov 2, 2024 | 226.55 Mn |
| Aug 3, 2024 | 203.55 Mn |
| Apr 27, 2024 | 219.85 Mn |
| Jan 27, 2024 | 209.42 Mn |
| Oct 28, 2023 | 270.89 Mn |
| Jul 29, 2023 | 238.11 Mn |
| Apr 29, 2023 | 270.09 Mn |
| Jan 28, 2023 | 260.95 Mn |
| Oct 29, 2022 | 297.38 Mn |
| Jul 30, 2022 | 295.57 Mn |
| Apr 30, 2022 | 316.99 Mn |
| Jan 29, 2022 | 276.64 Mn |
| Oct 30, 2021 | 298.23 Mn |
API Access
Stitch Fix Total Current 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-current-liabilities&ticker=SFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=SFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();