Stitch Fix (SFIX) Cash & Equivalents (2016 - 2026)
Stitch Fix (SFIX) posted Cash & Equivalents of $95.3 million for fiscal Q4 2026 (quarter ended Aug 1, 2026), down 16.4% from $113.95 million a year earlier but up 9.1% from the prior quarter.
Stitch Fix (SFIX) Cash & Equivalents (2016 - 2026) Analysis & Trends
Since fiscal Q1 2017, Stitch Fix has reported Cash & Equivalents for 40 quarters.
- Annual Cash & Equivalents has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -6.0% (FY2021 to FY2026).
- In prior fiscal years, Stitch Fix's Cash & Equivalents was $113.95 million in FY2025 (-30.0%), $162.86 million in FY2024 (-32.0%), $239.44 million in FY2023 (+82.9%) and $130.94 million in FY2022 (+0.9%).
- Quarterly Cash & Equivalents has run from a low of $87.34 million in fiscal Q3 2026 to a high of $256.9 million in fiscal Q1 2024 over five years.
- On a year-over-year basis, Cash & Equivalents increased in 1 of the last eight quarters, with an average decline of 27.4%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q1 2024, with growth of 126.6%; the weakest was fiscal Q1 2023, with a decline of 54.6%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $87.34 million (Q3 2026), $118.78 million (Q2 2026) and $114.49 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,721.33 Bn | 2,238.02 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 323.37 Bn | 316.61 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 162.45 Bn | 140.00 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 114.11 Bn | 107.07 Bn | 8.58 Bn | 3.17 Bn |
| 5 | O Reilly Automotive | 75.24 Bn | 74.33 Bn | 2.52 Bn | 262.18 Mn |
| 6 | Ross Stores | 74.50 Bn | 57.43 Bn | 2.12 Bn | 4.29 Bn |
| 7 | Target | 70.24 Bn | 64.83 Bn | 8.94 Bn | - |
| 8 | Autozone | 53.28 Bn | 52.19 Bn | 2.52 Bn | 253.73 Mn |
| 9 | Carvana | 42.43 Bn | 32.92 Bn | 1.38 Bn | 2.63 Bn |
| 10 | Stitch Fix | 366.52 Mn | -464.70 Mn | 141.38 Mn | 95.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 95.30 Mn |
| May 2, 2026 | 87.34 Mn |
| Jan 31, 2026 | 118.78 Mn |
| Nov 1, 2025 | 114.49 Mn |
| Aug 2, 2025 | 113.95 Mn |
| May 3, 2025 | 108.92 Mn |
| Feb 1, 2025 | 113.21 Mn |
| Nov 2, 2024 | 137.15 Mn |
| Aug 3, 2024 | 162.86 Mn |
| Apr 27, 2024 | 196.51 Mn |
| Jan 27, 2024 | 227.50 Mn |
| Oct 28, 2023 | 256.90 Mn |
| Jul 29, 2023 | 239.44 Mn |
| Apr 29, 2023 | 193.58 Mn |
| Jan 28, 2023 | 138.98 Mn |
| Oct 29, 2022 | 113.35 Mn |
| Jul 30, 2022 | 130.94 Mn |
| Apr 30, 2022 | 137.72 Mn |
| Jan 29, 2022 | 193.88 Mn |
| Oct 30, 2021 | 249.68 Mn |
Stitch Fix Cash & Equivalents 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=cash-and-equivalents&ticker=SFIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();