Viking Therapeutics (VKTX) Payables (2014 - 2026)
Viking Therapeutics' (VKTX) quarterly Payables came in at $69.0 million in Q2 2026, up 1156.13% year-over-year from $5.5 million in Q2 2025, and up 2.72% quarter-over-quarter from $67.2 million in Q1 2026.
Viking Therapeutics (VKTX) Payables (2014 - 2026) Analysis & Trends
Viking Therapeutics has disclosed Payables across 13 years of filings, most recently posting $69.0 million for Q2 2026.
- In Q2 2026, Payables rose 1156.13% year-over-year to $69.0 million; the TTM figure through Jun 2026 stood at $69.0 million (up 1156.13% YoY), while the FY2025 annual figure was $53.3 million, up 442.66% from the prior year.
- Payables came in at $69.0 million for Q2 2026 at Viking Therapeutics, up from $67.2 million in the prior quarter.
- In the past five years, Payables ranged from a high of $69.0 million in Q2 2026 to a low of $254000.0 in Q3 2024.
- Average Payables over 5 years is $15.4 million, with a median of $5.9 million recorded in 2022.
- Year-over-year, Payables tumbled 95.55% in 2024 and soared 1637.4% in 2025.
- Over 5 years, Payables stood at $8.5 million in 2022, then slipped by 11.92% to $7.5 million in 2023, then soared by 30.63% to $9.8 million in 2024, then soared by 442.66% to $53.3 million in 2025, then grew by 29.6% to $69.0 million in 2026.
- Per Business Quant data, the three most recent Payables figures were $69.0 million in Q2 2026, $67.2 million in Q1 2026, and $53.3 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.01 Bn | 628.25 Bn | 17.26 Bn | 20.92 Bn |
| 2 | AbbVie | 468.55 Bn | 462.03 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 365.49 Bn | 358.40 Bn | 12.21 Bn | 5.96 Bn |
| 4 | Novartis Ag | 272.39 Bn | 265.10 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 253.18 Bn | 247.96 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 219.53 Bn | 205.54 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 187.85 Bn | 184.59 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 160.56 Bn | 149.16 Bn | 10.94 Bn | 7.03 Bn |
| 9 | Vertex Pharmaceuticals | 130.81 Bn | 122.96 Bn | 2.84 Bn | 429.50 Mn |
| 10 | Viking Therapeutics | 4.86 Bn | 4.86 Bn | - | 69.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.01 Mn |
| Mar 31, 2026 | 67.18 Mn |
| Dec 31, 2025 | 53.25 Mn |
| Sep 30, 2025 | 4.41 Mn |
| Jun 30, 2025 | 5.49 Mn |
| Mar 31, 2025 | 7.70 Mn |
| Dec 31, 2024 | 9.81 Mn |
| Sep 30, 2024 | 254,000.00 |
| Jun 30, 2024 | 11.09 Mn |
| Mar 31, 2024 | 5.23 Mn |
| Dec 31, 2023 | 7.51 Mn |
| Sep 30, 2023 | 5.71 Mn |
| Jun 30, 2023 | 5.61 Mn |
| Mar 31, 2023 | 3.80 Mn |
| Dec 31, 2022 | 8.53 Mn |
| Sep 30, 2022 | 3.14 Mn |
| Jun 30, 2022 | 6.10 Mn |
| Mar 31, 2022 | 3.12 Mn |
| Dec 31, 2021 | 1.44 Mn |
| Sep 30, 2021 | 2.85 Mn |
Viking Therapeutics Payables 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=payables&ticker=VKTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=VKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();