Stitch Fix (SFIX) Inventory (2017 - 2026)
Stitch Fix (SFIX) posted Inventory of $122.71 million for fiscal Q4 2026 (quarter ended Aug 1, 2026), up 3.7% from $118.37 million a year earlier but down 7.2% from the prior quarter.
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Analysis
Stitch Fix (SFIX) Inventory (2017 - 2026) Analysis & Trends
Since fiscal Q4 2017, Stitch Fix has reported Inventory for 37 quarters.
- Annual Inventory shows a five-year compound annual growth rate of -10.4% (FY2021 to FY2026).
- In prior fiscal years, Stitch Fix's Inventory was $118.37 million in FY2025 (+20.9%), $97.9 million in FY2024 (-25.0%), $130.55 million in FY2023 (-33.8%) and $197.25 million in FY2022 (-7.1%).
- Quarterly Inventory has run from a low of $97.9 million in fiscal Q4 2024 to a high of $220.16 million in fiscal Q1 2023 over five years.
- On a year-over-year basis, Inventory has increased in each of the last five quarters, with growth averaging 3.9% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q4 2025, with growth of 20.9%; the weakest was fiscal Q4 2023, with a decline of 33.8%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $132.21 million (Q3 2026), $122.13 million (Q2 2026) and $141.5 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 3.09 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 5.97 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 13.25 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | - |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 3.26 Bn |
| 10 | Stitch Fix | 373.88 Mn | -457.35 Mn | 141.38 Mn | 122.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 122.71 Mn |
| May 2, 2026 | 132.21 Mn |
| Jan 31, 2026 | 122.13 Mn |
| Nov 1, 2025 | 141.50 Mn |
| Aug 2, 2025 | 118.37 Mn |
| May 3, 2025 | 114.41 Mn |
| Feb 1, 2025 | 109.59 Mn |
| Nov 2, 2024 | 119.15 Mn |
| Aug 3, 2024 | 97.90 Mn |
| Apr 27, 2024 | 114.47 Mn |
| Jan 27, 2024 | 126.03 Mn |
| Oct 28, 2023 | 160.72 Mn |
| Jul 29, 2023 | 130.55 Mn |
| Apr 29, 2023 | 151.61 Mn |
| Jan 28, 2023 | 158.93 Mn |
| Oct 29, 2022 | 220.16 Mn |
| Jul 30, 2022 | 197.25 Mn |
| Apr 30, 2022 | 213.00 Mn |
| Jan 29, 2022 | 183.46 Mn |
| Oct 30, 2021 | 184.13 Mn |
API Access
Stitch Fix Inventory 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=inventory&ticker=SFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();