Viking Global Technologies (VGTK) Exchange Rate Effect (2022 - 2025)
Viking Global Technologies' Exchange Rate Effect was $36,690 in Q4 2025, down 77.1% from $160,556 a year earlier.
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Analysis
Viking Global Technologies (VGTK) Exchange Rate Effect (2022 - 2025) Analysis & Trends
For FY2025, Exchange Rate Effect at Viking Global Technologies came in at $102,524, down 10.0% from FY2024.
- In earlier years, Exchange Rate Effect was $113,898 in FY2024 (-35.6%), $176,887 in FY2023 and -$247,696 in FY2022.
- Quarterly Exchange Rate Effect has moved between -$39,718 (Q2 2024) and $160,556 (Q4 2024) over five years.
- Per Business Quant data, VGTK's Exchange Rate Effect in the three quarters before Q4 2025 was -$18,900 (Q3 2025), $462.00 (Q2 2025) and $84,272 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 37.00 Mn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | -1.37 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | -142,000.00 |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | - |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 2.29 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | -608,000.00 |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | -1.60 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | -5.91 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | -200,000.00 |
| 10 | Viking Global Technologies | 26,800.00 | 5.18 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 36,690.00 |
| Sep 30, 2025 | -18,900.00 |
| Jun 30, 2025 | 462.00 |
| Mar 31, 2025 | 84,272.00 |
| Dec 31, 2024 | 160,556.00 |
| Sep 30, 2024 | -10,220.00 |
| Jun 30, 2024 | -39,718.00 |
| Mar 31, 2024 | 3,280.00 |
| Dec 31, 2023 | 55,392.00 |
| Sep 30, 2023 | 11,388.00 |
| Jun 30, 2023 | 47,561.00 |
| Mar 31, 2023 | 62,546.00 |
| Dec 31, 2022 | 59,139.00 |
API Access
Viking Global Technologies 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=VGTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "VGTK", "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=VGTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();