Wenyuan (WYGC) Exchange Rate Effect (2022 - 2026)
Wenyuan (WYGC) reported Exchange Rate Effect of -$10.00 for Q2 2026, compared with $5,566 a year earlier.
Wenyuan (WYGC) Exchange Rate Effect (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Wenyuan's Exchange Rate Effect came in at -$5,112; for FY2025, it was $559.00, down 66.7% from FY2024.
- By year, Exchange Rate Effect came in at $1,680 in FY2024, -$4,700 in FY2023 and -$5,341 in FY2022.
- Five-year quarterly Exchange Rate Effect spans a low of -$14,413 in Q3 2022 and a high of $15,888 in Q4 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.00 (Q1 2026), -$6,828 (Q4 2025) and $1,708 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,671.68 Bn | 2,188.38 Bn | 104.83 Bn | -53.00 Mn |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 160.11 Bn | 137.66 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 111.01 Bn | 103.97 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn | 680,000.00 |
| 6 | Ross Stores | 72.72 Bn | 55.65 Bn | 2.12 Bn | - |
| 7 | Target | 69.31 Bn | 63.90 Bn | 8.94 Bn | - |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn | -503,000.00 |
| 9 | Carvana | 41.40 Bn | 31.89 Bn | 1.38 Bn | - |
| 10 | Wenyuan | 5.78 Mn | 5.77 Mn | - | -10.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.00 |
| Mar 31, 2026 | 18.00 |
| Dec 31, 2025 | -6,828.00 |
| Sep 30, 2025 | 1,708.00 |
| Jun 30, 2025 | 5,566.00 |
| Mar 31, 2025 | 113.00 |
| Dec 31, 2024 | -6,708.00 |
| Sep 30, 2024 | 7,077.00 |
| Jun 30, 2024 | -2,559.00 |
| Mar 31, 2024 | 3,870.00 |
| Dec 31, 2023 | -497.00 |
| Sep 30, 2023 | -3,578.00 |
| Jun 30, 2023 | -1,107.00 |
| Mar 31, 2023 | 482.00 |
| Dec 31, 2022 | 15,888.00 |
| Sep 30, 2022 | -14,413.00 |
| Jun 30, 2022 | -6,298.00 |
| Mar 31, 2022 | -518.00 |
Wenyuan 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=WYGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "WYGC", "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=WYGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();