ThredUp (TDUP) Exchange Rate Effect (2021 - 2024)
ThredUp's Exchange Rate Effect was -$707,000 in Q4 2024, compared with $162,000 a year earlier.
Analysis
ThredUp (TDUP) Exchange Rate Effect (2021 - 2024) Analysis & Trends
For FY2024, Exchange Rate Effect at ThredUp came in at -$586,000.
- In earlier years, Exchange Rate Effect was -$68,000 in FY2023, -$672,000 in FY2022 and -$64,000 in FY2021.
- The Q4 2024 figure marks the lowest quarterly Exchange Rate Effect in data going back to Q4 2021.
- Per Business Quant data, TDUP's Exchange Rate Effect in the three quarters before Q4 2024 was $281,000 (Q3 2024), -$45,000 (Q2 2024) and -$115,000 (Q1 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | -53.00 Mn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 680,000.00 |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | -503,000.00 |
| 10 | ThredUp | 278.35 Mn | 77.23 Mn | 72.52 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -707,000.00 |
| Sep 30, 2024 | 281,000.00 |
| Jun 30, 2024 | -45,000.00 |
| Mar 31, 2024 | -115,000.00 |
| Dec 31, 2023 | 162,000.00 |
| Sep 30, 2023 | -554,000.00 |
| Jun 30, 2023 | 864,000.00 |
| Mar 31, 2023 | -540,000.00 |
| Dec 31, 2022 | 246,000.00 |
| Sep 30, 2022 | -397,000.00 |
| Jun 30, 2022 | -349,000.00 |
| Mar 31, 2022 | -172,000.00 |
| Dec 31, 2021 | -64,000.00 |
API Access
ThredUp 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=TDUP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "TDUP", "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=TDUP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();