Stitch Fix (SFIX) Exchange Rate Effect (2019 - 2024)
Stitch Fix's (SFIX) quarterly Exchange Rate Effect came in at $259000.0 in Q3 2024, down 69.46% year-over-year from $848000.0 in Q3 2023, and up 165.24% quarter-over-quarter from -$397000.0 in Q2 2024.
Stitch Fix (SFIX) Exchange Rate Effect (2019 - 2024) Analysis & Trends
Stitch Fix has disclosed Exchange Rate Effect across 6 years of filings, most recently posting $259000.0 for Q3 2024.
- In Q3 2024, Exchange Rate Effect fell 69.46% year-over-year to $259000.0; the TTM figure through May 2025 stood at $259000.0 (up 361.62% YoY), while the FY2024 annual figure was -$688000.0, down 136.5% from the prior year.
- Exchange Rate Effect came in at $259000.0 for Q3 2024 at Stitch Fix, up from -$397000.0 in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $2.1 million in Q1 2023 to a low of -$1.9 million in Q4 2023.
- Average Exchange Rate Effect over 5 years is -$64736.8, with a median of $189000.0 recorded in 2021.
- The largest YoY upside for Exchange Rate Effect was 562.14% in 2020 against a maximum downside of 6503.57% in 2020.
- Over 5 years, Exchange Rate Effect stood at -$273000.0 in 2020, then plunged by 93.77% to -$529000.0 in 2021, then slumped by 167.3% to -$1.4 million in 2022, then plunged by 34.02% to -$1.9 million in 2023, then jumped by 113.67% to $259000.0 in 2024.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were $259000.0 in Q3 2024, -$397000.0 in Q2 2024, and $1.3 million in Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,735.76 Bn | 2,612.77 Bn | 198.88 Bn | -54.00 Mn |
| 2 | JD.com | 32.66 Bn | 9.40 Bn | 16.50 Bn | -401.00 Mn |
| 3 | Coupang | 25.61 Bn | 19.50 Bn | 2.49 Bn | -94.00 Mn |
| 4 | Wayfair | 13.93 Bn | 12.79 Bn | 1.05 Bn | 1.00 Mn |
| 5 | GigaCloud Technology | 3.80 Bn | 3.42 Bn | 105.56 Mn | 132,000.00 |
| 6 | Pattern | 3.04 Bn | 2.69 Bn | 384.36 Mn | 127,000.00 |
| 7 | Yunji | 1.88 Bn | 1.86 Bn | - | - |
| 8 | Revolve | 1.47 Bn | 1.13 Bn | 196.67 Mn | -75,000.00 |
| 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 |
|---|---|
| Aug 3, 2024 | 259,000.00 |
| Apr 27, 2024 | -397,000.00 |
| Jan 27, 2024 | 1.35 Mn |
| Oct 28, 2023 | -1.90 Mn |
| Jul 29, 2023 | 848,000.00 |
| Apr 29, 2023 | 331,000.00 |
| Jan 28, 2023 | 2.12 Mn |
| Oct 29, 2022 | -1.41 Mn |
| Jul 30, 2022 | -1.17 Mn |
| Apr 30, 2022 | -1.86 Mn |
| Jan 29, 2022 | -674,000.00 |
| Oct 30, 2021 | -529,000.00 |
| Jul 31, 2021 | 337,000.00 |
| May 1, 2021 | 189,000.00 |
| Jan 30, 2021 | 1.54 Mn |
| Oct 31, 2020 | -273,000.00 |
| Aug 1, 2020 | 1.32 Mn |
| May 2, 2020 | -1.79 Mn |
| Feb 1, 2020 | 476,000.00 |
| Nov 2, 2019 | 1.54 Mn |
Stitch Fix Exchange Rate Effect 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=exchange-rate-effect&ticker=SFIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=SFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();