Viking Therapeutics (VKTX) Total Liabilities (2014 - 2026)
Viking Therapeutics (VKTX) posted Total Liabilities of $388.57 million for Q3 2026, compared with $26.39 million a year earlier and up 242.1% from the prior quarter.
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Analysis
Viking Therapeutics (VKTX) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Viking Therapeutics' Total Liabilities came in at $76.67 million, up 173.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 44.5% (FY2020 to FY2025).
- In prior years, Viking Therapeutics' Total Liabilities was $28.04 million in FY2024 (+39.7%), $20.07 million in FY2023 (-13.5%), $23.21 million in FY2022 (+164.4%) and $8.78 million in FY2021 (-27.8%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2014.
- On a year-over-year basis, Total Liabilities increased in five of the last seven quarters, with growth averaging 125.5%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2026, with growth of 429.6%; the weakest was Q1 2025, with a decline of 40.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $113.58 million (Q2 2026), $106.33 million (Q1 2026) and $76.67 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Viking Therapeutics | 3.65 Bn | 884.58 Mn | - | 388.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 388.57 Mn |
| Jun 30, 2026 | 113.58 Mn |
| Mar 31, 2026 | 106.33 Mn |
| Dec 31, 2025 | 76.67 Mn |
| Sep 30, 2025 | 26.39 Mn |
| Jun 30, 2025 | 32.39 Mn |
| Mar 31, 2025 | 20.08 Mn |
| Dec 31, 2024 | 28.04 Mn |
| Sep 30, 2024 | 26.44 Mn |
| Jun 30, 2024 | 25.86 Mn |
| Mar 31, 2024 | 33.63 Mn |
| Dec 31, 2023 | 20.07 Mn |
| Sep 30, 2023 | 14.42 Mn |
| Jun 30, 2023 | 14.58 Mn |
| Mar 31, 2023 | 16.83 Mn |
| Dec 31, 2022 | 23.21 Mn |
| Sep 30, 2022 | 15.40 Mn |
| Jun 30, 2022 | 16.28 Mn |
| Mar 31, 2022 | 12.76 Mn |
| Dec 31, 2021 | 8.78 Mn |
API Access
Viking Therapeutics Total Liabilities 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=total-liabilities&ticker=VKTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();