Viking Therapeutics (VKTX) Prepaid Assets (2014 - 2026)
Viking Therapeutics' (VKTX) quarterly Prepaid Assets came in at $941000.0 in Q2 2026, down 66.57% year-over-year from $2.8 million in Q2 2025, and down 23.12% quarter-over-quarter from $1.2 million in Q1 2026.
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Analysis
Viking Therapeutics (VKTX) Prepaid Assets (2014 - 2026) Analysis & Trends
Viking Therapeutics has disclosed Prepaid Assets across 13 years of filings, most recently posting $941000.0 for Q2 2026.
- In Q2 2026, Prepaid Assets fell 66.57% year-over-year to $941000.0; the TTM figure through Jun 2026 stood at $941000.0 (down 66.57% YoY), while the FY2025 annual figure was $1.8 million, up 60.11% from the prior year.
- Prepaid Assets came in at $941000.0 for Q2 2026 at Viking Therapeutics, down from $1.2 million in the prior quarter.
- In the past five years, Prepaid Assets ranged from a high of $3.9 million in Q1 2023 to a low of $138000.0 in Q2 2024.
- Average Prepaid Assets over 5 years is $1.5 million, with a median of $1.1 million recorded in 2022.
- Year-over-year, Prepaid Assets sank 85.62% in 2024 and jumped 1939.86% in 2025.
- Over 5 years, Prepaid Assets stood at $3.4 million in 2022, then retreated by 26.06% to $2.5 million in 2023, then sank by 55.27% to $1.1 million in 2024, then soared by 60.11% to $1.8 million in 2025, then plunged by 47.9% to $941000.0 in 2026.
- Per Business Quant data, the three most recent Prepaid Assets figures were $941000.0 in Q2 2026, $1.2 million in Q1 2026, and $1.8 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.01 Bn | 628.25 Bn | 17.26 Bn |
| 2 | AbbVie | 468.55 Bn | 462.03 Bn | 12.70 Bn |
| 3 | Merck | 365.49 Bn | 358.40 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.39 Bn | 265.10 Bn | 11.24 Bn |
| 5 | Astrazeneca | 253.18 Bn | 247.96 Bn | 12.86 Bn |
| 6 | Amgen | 219.53 Bn | 205.54 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.85 Bn | 184.59 Bn | 6.22 Bn |
| 8 | Pfizer | 160.56 Bn | 149.16 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 130.81 Bn | 122.96 Bn | 2.84 Bn |
| 10 | Viking Therapeutics | 4.86 Bn | 4.86 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 941,000.00 |
| Mar 31, 2026 | 1.22 Mn |
| Dec 31, 2025 | 1.81 Mn |
| Sep 30, 2025 | 2.24 Mn |
| Jun 30, 2025 | 2.82 Mn |
| Mar 31, 2025 | 865,000.00 |
| Dec 31, 2024 | 1.13 Mn |
| Sep 30, 2024 | 1.73 Mn |
| Jun 30, 2024 | 138,000.00 |
| Mar 31, 2024 | 643,000.00 |
| Dec 31, 2023 | 2.52 Mn |
| Sep 30, 2023 | 670,000.00 |
| Jun 30, 2023 | 960,000.00 |
| Mar 31, 2023 | 3.93 Mn |
| Dec 31, 2022 | 3.41 Mn |
| Sep 30, 2022 | 956,000.00 |
| Jun 30, 2022 | 1.09 Mn |
| Mar 31, 2022 | 388,000.00 |
| Dec 31, 2021 | 619,000.00 |
| Sep 30, 2021 | 915,000.00 |
API Access
Viking Therapeutics Prepaid Assets 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=prepaid-assets&ticker=VKTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=VKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();