Wenyuan (WYGC) Exchange Rate Effect (2022 - 2026)
Wenyuan (WYGC) reported Exchange Rate Effect of $18.00 for Q1 2026, down 84.1% from $113.00 a year earlier.
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Analysis
Wenyuan (WYGC) Exchange Rate Effect (2022 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Wenyuan's Exchange Rate Effect came in at $464.00; 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 Q1 2026 came in at -$6,828 (Q4 2025), $1,708 (Q3 2025) and $5,566 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -53.00 Mn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | - |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 680,000.00 |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | -503,000.00 |
| 10 | Wenyuan | 4.96 Mn | 4.95 Mn | - | 18.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
API Access
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_KEYimport 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();