Stitch Fix (SFIX) Cost of Revenue (2016 - 2026)
Stitch Fix's Cost of Revenue was $183.03 million in fiscal Q4 2026 (quarter ended Aug 1, 2026), up 4.3% from $175.51 million a year earlier but down 4.4% from the prior quarter.
Stitch Fix (SFIX) Cost of Revenue (2016 - 2026) Analysis & Trends
For FY2026 (ended Aug 1, 2026), Cost of Revenue at Stitch Fix came in at $759.63 million, up 7.9% from FY2025.
- Cost of Revenue shows a five-year compound annual growth rate of -8.0% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $704.23 million in FY2025 (-5.5%), $745.43 million in FY2024 (-18.7%), $916.91 million in FY2023 (-18.9%) and $1.13 billion in FY2022 (-1.9%).
- Quarterly Cost of Revenue has moved between $173.25 million (fiscal Q2 2025) and $308.33 million (fiscal Q1 2022) over five years.
- Compared with a year earlier, Cost of Revenue has increased for four straight quarters, with growth averaging 1.4% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q1 2022 (growth of 13.8%); the worst was fiscal Q3 2023 (a decline of 22.3%).
- Per Business Quant data, SFIX's Cost of Revenue in the three fiscal quarters before Q4 2026 was $191.44 million (Q3 2026), $192.35 million (Q2 2026) and $192.8 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 17.38 Bn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 2.38 Bn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 4.15 Bn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | 17.60 Bn |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 5.99 Bn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Stitch Fix | 363.19 Mn | -468.03 Mn | 141.38 Mn | 183.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 183.03 Mn |
| May 2, 2026 | 191.44 Mn |
| Jan 31, 2026 | 192.35 Mn |
| Nov 1, 2025 | 192.80 Mn |
| Aug 2, 2025 | 175.51 Mn |
| May 3, 2025 | 181.46 Mn |
| Feb 1, 2025 | 173.25 Mn |
| Nov 2, 2024 | 174.01 Mn |
| Aug 3, 2024 | 177.07 Mn |
| Apr 27, 2024 | 175.75 Mn |
| Jan 27, 2024 | 186.92 Mn |
| Oct 28, 2023 | 205.68 Mn |
| Jul 29, 2023 | 203.87 Mn |
| Apr 29, 2023 | 219.74 Mn |
| Jan 28, 2023 | 236.87 Mn |
| Oct 29, 2022 | 256.43 Mn |
| Jul 30, 2022 | 256.03 Mn |
| Apr 30, 2022 | 282.85 Mn |
| Jan 29, 2022 | 283.92 Mn |
| Oct 30, 2021 | 308.33 Mn |
Stitch Fix Cost of Revenue 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=cost-of-revenue&ticker=SFIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();