Stitch Fix (SFIX) Return on Assets [ROA] (2017 - 2026)
Stitch Fix (SFIX) posted Return on Assets [ROA] of -2.56% for fiscal Q4 2026 (quarter ended Aug 1, 2026), up 3.40 percentage points from -5.95% a year earlier and up 1.21 percentage points from the prior quarter.
Stitch Fix (SFIX) Return on Assets [ROA] (2017 - 2026) Analysis & Trends
For FY2026 (ended Aug 1, 2026), Stitch Fix's Return on Assets [ROA] came in at -2.63%, up 3.31 percentage points from FY2025.
- Annual Return on Assets [ROA] has increased for four consecutive fiscal years, though with a five-year change of -1.51 percentage points (FY2021 to FY2026).
- In prior fiscal years, Stitch Fix's Return on Assets [ROA] was -5.94% in FY2025 (+17.46 pp), -23.40% in FY2024 (+1.54 pp), -24.94% in FY2023 (+1.22 pp) and -26.16% in FY2022 (-25.04 pp).
- The fiscal Q4 2026 figure stands as the highest quarterly Return on Assets [ROA] since fiscal Q1 2022.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last 12 quarters, with an average year-over-year change of +9.53 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was fiscal Q4 2025, with a gain of 19.21 percentage points; the weakest was fiscal Q2 2023, with a drop of 35.18 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior fiscal quarters was -3.77% (Q3 2026), -4.81% (Q2 2026) and -5.70% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 13.15% |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 13.10% |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 16.56% |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 11.99% |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 16.86% |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 15.44% |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 7.42% |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 11.98% |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 15.05% |
| 10 | Stitch Fix | 347.70 Mn | -483.52 Mn | 141.38 Mn | -2.56% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -2.56% |
| May 2, 2026 | -3.77% |
| Jan 31, 2026 | -4.81% |
| Nov 1, 2025 | -5.70% |
| Aug 2, 2025 | -5.95% |
| May 3, 2025 | -11.84% |
| Feb 1, 2025 | -14.41% |
| Nov 2, 2024 | -20.04% |
| Aug 3, 2024 | -25.17% |
| Apr 27, 2024 | -22.51% |
| Jan 27, 2024 | -20.91% |
| Oct 28, 2023 | -24.47% |
| Jul 29, 2023 | -26.99% |
| Apr 29, 2023 | -32.43% |
| Jan 28, 2023 | -38.48% |
| Oct 29, 2022 | -31.23% |
| Jul 30, 2022 | -22.31% |
| Apr 30, 2022 | -10.14% |
| Jan 29, 2022 | -3.30% |
| Oct 30, 2021 | -2.32% |
Stitch Fix Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=SFIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=SFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();