Viking Therapeutics (VKTX) Exchange Rate Effect (2022 - 2026)
Viking Therapeutics' (VKTX) quarterly Exchange Rate Effect came in at $16000.0 in Q1 2026, up 1500.0% year-over-year from $1000.0 in Q1 2025, and up 77.78% quarter-over-quarter from $9000.0 in Q4 2025.
Viking Therapeutics (VKTX) Exchange Rate Effect (2022 - 2026) Analysis & Trends
Viking Therapeutics has disclosed Exchange Rate Effect across 5 years of filings, most recently posting $16000.0 for Q1 2026.
- In Q1 2026, Exchange Rate Effect rose 1500.0% year-over-year to $16000.0; the TTM figure through Jun 2026 stood at $19000.0 (up 116.67% YoY), while the FY2025 annual figure was -$8000.0, up 94.59% from the prior year.
- Exchange Rate Effect came in at $16000.0 for Q1 2026 at Viking Therapeutics, up from $9000.0 in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $141000.0 in Q4 2022 to a low of -$223000.0 in Q3 2022.
- Average Exchange Rate Effect over 5 years is -$16800.0, with a median of -$6000.0 recorded in 2025.
- Year-over-year, Exchange Rate Effect plunged 500.0% in 2025 and surged 1500.0% in 2026.
- Over 5 years, Exchange Rate Effect stood at $141000.0 in 2022, then tumbled by 64.54% to $50000.0 in 2023, then tumbled by 248.0% to -$74000.0 in 2024, then surged by 112.16% to $9000.0 in 2025, then surged by 77.78% to $16000.0 in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were $16000.0 in Q1 2026, $9000.0 in Q4 2025, and -$6000.0 in Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.01 Bn | 628.25 Bn | 17.26 Bn | 5.00 Mn |
| 2 | AbbVie | 468.55 Bn | 462.03 Bn | 12.70 Bn | -7.00 Mn |
| 3 | Merck | 365.49 Bn | 358.40 Bn | 12.21 Bn | -37.00 Mn |
| 4 | Novartis Ag | 272.39 Bn | 265.10 Bn | 11.24 Bn | -18.00 Mn |
| 5 | Astrazeneca | 253.18 Bn | 247.96 Bn | 12.86 Bn | 9.00 Mn |
| 6 | Amgen | 219.53 Bn | 205.54 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 187.85 Bn | 184.59 Bn | 6.22 Bn | -19.00 Mn |
| 8 | Pfizer | 160.56 Bn | 149.16 Bn | 10.94 Bn | -4.00 Mn |
| 9 | Vertex Pharmaceuticals | 130.81 Bn | 122.96 Bn | 2.84 Bn | -3.70 Mn |
| 10 | Viking Therapeutics | 4.86 Bn | 4.86 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 16,000.00 |
| Dec 31, 2025 | 9,000.00 |
| Sep 30, 2025 | -6,000.00 |
| Jun 30, 2025 | -12,000.00 |
| Mar 31, 2025 | 1,000.00 |
| Dec 31, 2024 | -74,000.00 |
| Sep 30, 2024 | -29,000.00 |
| Jun 30, 2024 | 3,000.00 |
| Mar 31, 2024 | -48,000.00 |
| Dec 31, 2023 | 50,000.00 |
| Sep 30, 2023 | -68,000.00 |
| Jun 30, 2023 | -3,000.00 |
| Mar 31, 2023 | -9,000.00 |
| Dec 31, 2022 | 141,000.00 |
| Sep 30, 2022 | -223,000.00 |
Viking Therapeutics 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=VKTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "VKTX", "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=VKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();