Stitch Fix (SFIX) Liabilities from Discontinued Operations (2023 - 2024)
Stitch Fix's (SFIX) quarterly Liabilities from Discontinued Operations came in at $32000.0 in Q4 2024, down 99.52% year-over-year from $6.7 million in Q4 2023, and down 93.63% quarter-over-quarter from $502000.0 in Q3 2024.
Stitch Fix (SFIX) Liabilities from Discontinued Operations (2023 - 2024) Analysis & Trends
Stitch Fix has disclosed Liabilities from Discontinued Operations across 2 years of filings, most recently posting $32000.0 for Q4 2024.
- In Q4 2024, Liabilities from Discontinued Operations fell 99.52% year-over-year to $32000.0; the TTM figure through Nov 2024 stood at $32000.0 (down 99.52% YoY), while the FY2024 annual figure was $502000.0, down 96.07% from the prior year.
- Liabilities from Discontinued Operations came in at $32000.0 for Q4 2024 at Stitch Fix, down from $502000.0 in the prior quarter.
- In the past five years, Liabilities from Discontinued Operations ranged from a high of $12.8 million in Q3 2023 to a low of $32000.0 in Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,735.76 Bn | 2,612.77 Bn | 198.88 Bn |
| 2 | JD.com | 32.66 Bn | 9.40 Bn | 16.50 Bn |
| 3 | Coupang | 25.61 Bn | 19.50 Bn | 2.49 Bn |
| 4 | Wayfair | 13.93 Bn | 12.79 Bn | 1.05 Bn |
| 5 | GigaCloud Technology | 3.80 Bn | 3.42 Bn | 105.56 Mn |
| 6 | Pattern | 3.04 Bn | 2.69 Bn | 384.36 Mn |
| 7 | Yunji | 1.88 Bn | 1.86 Bn | - |
| 8 | Revolve | 1.47 Bn | 1.13 Bn | 196.67 Mn |
| 9 | ATRenew | 632.36 Mn | 371.23 Mn | -705.59 Mn |
| 10 | Stitch Fix | 398.30 Mn | 211.49 Mn | 148.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Nov 2, 2024 | 32,000.00 |
| Aug 3, 2024 | 502,000.00 |
| Apr 27, 2024 | 138,000.00 |
| Jan 27, 2024 | 2.06 Mn |
| Oct 28, 2023 | 6.68 Mn |
| Jul 29, 2023 | 12.78 Mn |
Stitch Fix Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=SFIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "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=liabilities-from-discontinued-operations&ticker=SFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();