Viking Therapeutics (VKTX) Cash & Equivalents (2014 - 2026)
Viking Therapeutics (VKTX) reported Cash & Equivalents of $125.75 million for Q2 2026, up 271.2% from $33.88 million a year earlier and up 6.5% from the prior quarter.
Viking Therapeutics (VKTX) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2025, Viking Therapeutics posted Cash & Equivalents of $165.81 million, up 521.6% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 41.6% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $26.68 million in FY2024 (-51.9%), $55.52 million in FY2023 (+51.6%), $36.63 million in FY2022 (+38.9%) and $26.37 million in FY2021 (-9.4%).
- Five-year quarterly Cash & Equivalents spans a low of $11.26 million in Q3 2021 and a high of $195.58 million in Q1 2024.
- Year over year, Cash & Equivalents has now increased in each of the last four quarters, with growth averaging 122.9% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2024 (growth of 965.1%); the low point was Q1 2025 (a decline of 80.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $118.12 million (Q1 2026), $165.81 million (Q4 2025) and $100.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.13 Bn | 1,100.72 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 634.87 Bn | 554.73 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 506.59 Bn | 479.70 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 357.59 Bn | 311.97 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 291.51 Bn | 255.50 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 265.00 Bn | 238.69 Bn | 12.86 Bn | 4.90 Bn |
| 7 | Amgen | 238.17 Bn | 193.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 195.18 Bn | 169.37 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 171.20 Bn | 117.84 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Viking Therapeutics | 2.88 Bn | 353.90 Mn | - | 125.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 125.75 Mn |
| Mar 31, 2026 | 118.12 Mn |
| Dec 31, 2025 | 165.81 Mn |
| Sep 30, 2025 | 100.38 Mn |
| Jun 30, 2025 | 33.88 Mn |
| Mar 31, 2025 | 37.94 Mn |
| Dec 31, 2024 | 26.68 Mn |
| Sep 30, 2024 | 50.35 Mn |
| Jun 30, 2024 | 43.92 Mn |
| Mar 31, 2024 | 195.58 Mn |
| Dec 31, 2023 | 55.52 Mn |
| Sep 30, 2023 | 37.19 Mn |
| Jun 30, 2023 | 69.52 Mn |
| Mar 31, 2023 | 18.36 Mn |
| Dec 31, 2022 | 36.63 Mn |
| Sep 30, 2022 | 29.41 Mn |
| Jun 30, 2022 | 16.23 Mn |
| Mar 31, 2022 | 12.45 Mn |
| Dec 31, 2021 | 26.37 Mn |
| Sep 30, 2021 | 11.26 Mn |
Viking Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=VKTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();