Stitch Fix (SFIX) Operating Leases (2019 - 2026)
Stitch Fix (SFIX) recorded Operating Leases of $47.47 million in fiscal Q4 2026 (quarter ended Aug 1, 2026), down 32.9% from $70.76 million a year earlier and down 10.8% from the prior quarter.
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Analysis
Stitch Fix (SFIX) Operating Leases (2019 - 2026) Analysis & Trends
Starting with fiscal Q1 2020, Stitch Fix's Operating Leases history includes 28 quarters.
- Annual Operating Leases has declined for four straight fiscal years, with a five-year compound annual growth rate of -17.2% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $70.76 million in FY2025 (-26.1%), $95.69 million in FY2024 (-23.7%), $125.42 million in FY2023 (-11.3%) and $141.33 million in FY2022 (+16.2%).
- The fiscal Q4 2026 figure is the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has declined for 15 consecutive quarters, with an average decline of 28.0% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 16.2% in fiscal Q3 2022, against a decline of 32.9% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $53.22 million (Q3 2026), $58.87 million (Q2 2026) and $64.4 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn |
| 10 | Stitch Fix | 347.70 Mn | -483.52 Mn | 141.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 47.47 Mn |
| May 2, 2026 | 53.22 Mn |
| Jan 31, 2026 | 58.87 Mn |
| Nov 1, 2025 | 64.40 Mn |
| Aug 2, 2025 | 70.76 Mn |
| May 3, 2025 | 76.93 Mn |
| Feb 1, 2025 | 83.12 Mn |
| Nov 2, 2024 | 89.47 Mn |
| Aug 3, 2024 | 95.69 Mn |
| Apr 27, 2024 | 105.12 Mn |
| Jan 27, 2024 | 111.94 Mn |
| Oct 28, 2023 | 118.74 Mn |
| Jul 29, 2023 | 125.42 Mn |
| Apr 29, 2023 | 131.91 Mn |
| Jan 28, 2023 | 139.64 Mn |
| Oct 29, 2022 | 147.84 Mn |
| Jul 30, 2022 | 141.33 Mn |
| Apr 30, 2022 | 148.70 Mn |
| Jan 29, 2022 | 151.70 Mn |
| Oct 30, 2021 | 144.01 Mn |
API Access
Stitch Fix Operating Leases 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-leases&ticker=SFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=SFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();