vTv Therapeutics (VTVT) Total Liabilities (2014 - 2026)
vTv Therapeutics (VTVT) posted Total Liabilities of $8.96 million for Q2 2026, down 62.7% from $24.04 million a year earlier but up 1.2% from the prior quarter.
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Analysis
vTv Therapeutics (VTVT) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, vTv Therapeutics' Total Liabilities came in at $25.46 million, up 6.2% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -23.1% (FY2020 to FY2025).
- In prior years, vTv Therapeutics' Total Liabilities was $23.97 million in FY2024 (-32.9%), $35.7 million in FY2023 (-18.8%), $43.98 million in FY2022 (+24.9%) and $35.21 million in FY2021 (-62.9%).
- Quarterly Total Liabilities has run from a low of $8.85 million in Q1 2026 to a high of $52.98 million in Q3 2021 over five years.
- On a year-over-year basis, Total Liabilities increased in two of the last eight quarters, with an average decline of 24.9%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2023, with growth of 69.8%; the weakest was Q4 2021, with a decline of 62.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $8.85 million (Q1 2026), $25.46 million (Q4 2025) and $28.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | vTv Therapeutics | 378.73 Mn | 378.73 Mn | - | 8.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.96 Mn |
| Mar 31, 2026 | 8.85 Mn |
| Dec 31, 2025 | 25.46 Mn |
| Sep 30, 2025 | 28.95 Mn |
| Jun 30, 2025 | 24.04 Mn |
| Mar 31, 2025 | 23.13 Mn |
| Dec 31, 2024 | 23.97 Mn |
| Sep 30, 2024 | 25.25 Mn |
| Jun 30, 2024 | 26.02 Mn |
| Mar 31, 2024 | 28.20 Mn |
| Dec 31, 2023 | 35.70 Mn |
| Sep 30, 2023 | 40.16 Mn |
| Jun 30, 2023 | 47.71 Mn |
| Mar 31, 2023 | 48.02 Mn |
| Dec 31, 2022 | 43.98 Mn |
| Sep 30, 2022 | 52.09 Mn |
| Jun 30, 2022 | 45.52 Mn |
| Mar 31, 2022 | 28.28 Mn |
| Dec 31, 2021 | 35.21 Mn |
| Sep 30, 2021 | 52.98 Mn |
API Access
vTv 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=VTVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "VTVT", "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=VTVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();