Stitch Fix (SFIX) Return on Sales [ROS] (2016 - 2026)
Stitch Fix's Return on Sales [ROS] came in at -1.35% for fiscal Q4 2026 (quarter ended Aug 1, 2026), up 2.26 percentage points from -3.60% a year earlier but down 0.17 percentage points from the prior quarter.
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Analysis
Stitch Fix (SFIX) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For FY2026 (ended Aug 1, 2026), Stitch Fix's Return on Sales [ROS] was -1.61%, up 1.46 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of +1.41 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was -3.07% in FY2025 (+6.91 pp), -9.98% in FY2024 (-0.23 pp), -9.75% in FY2023 (-0.61 pp) and -9.14% in FY2022 (-6.13 pp).
- The five-year range for quarterly Return on Sales [ROS] is -17.58% (fiscal Q4 2022) to -0.32% (fiscal Q1 2022).
- Year-over-year, Return on Sales [ROS] has increased for eight consecutive quarters, with an average year-over-year change of +4.22 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q4 2023 (a gain of 11.29 percentage points), and the weakest in fiscal Q4 2022 (a drop of 21.21 percentage points).
- Business Quant data shows SFIX's Return on Sales [ROS] at -1.18% (Q3 2026), -1.39% (Q2 2026) and -2.51% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 13.67% |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 20.15% |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 17.62% |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | 9.65% |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 9.22% |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 19.08% |
| 10 | Stitch Fix | 363.19 Mn | -468.03 Mn | 141.38 Mn | -1.35% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -1.35% |
| May 2, 2026 | -1.18% |
| Jan 31, 2026 | -1.39% |
| Nov 1, 2025 | -2.51% |
| Aug 2, 2025 | -3.60% |
| May 3, 2025 | -2.99% |
| Feb 1, 2025 | -2.89% |
| Nov 2, 2024 | -2.81% |
| Aug 3, 2024 | -13.11% |
| Apr 27, 2024 | -7.70% |
| Jan 27, 2024 | -11.51% |
| Oct 28, 2023 | -7.86% |
| Jul 29, 2023 | -6.29% |
| Apr 29, 2023 | -5.35% |
| Jan 28, 2023 | -15.80% |
| Oct 29, 2022 | -10.94% |
| Jul 30, 2022 | -17.58% |
| Apr 30, 2022 | -15.60% |
| Jan 29, 2022 | -5.94% |
| Oct 30, 2021 | -0.32% |
API Access
Stitch Fix Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();