vTv Therapeutics (VTVT) Notes Payables (2014 - 2025)
vTv Therapeutics' Short-Term Borrowings came in at $328,000 for Q3 2025.
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Analysis
vTv Therapeutics (VTVT) Notes Payables (2014 - 2025) Analysis & Trends
At the end of FY2023, vTv Therapeutics' Short-Term Borrowings was $191,000, down 14.7% from FY2022.
- Short-Term Borrowings carries a five-year compound annual growth rate of -54.1% (FY2018 to FY2023).
- Going back by year, Short-Term Borrowings was $224,000 in FY2022 (-12.5%), $256,000 in FY2021 (+204.8%), $84,000 in FY2020 (-98.6%) and $6.17 million in FY2019 (-34.2%).
- The Q3 2025 figure represents the highest quarterly Short-Term Borrowings since Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn |
| 10 | vTv Therapeutics | 271.03 Mn | -79.85 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 328,000.00 |
| Dec 31, 2023 | 191,000.00 |
| Sep 30, 2023 | 473,000.00 |
| Dec 31, 2022 | 224,000.00 |
| Sep 30, 2022 | 557,000.00 |
| Dec 31, 2021 | 256,000.00 |
| Sep 30, 2021 | 636,000.00 |
| Dec 31, 2020 | 84,000.00 |
| Sep 30, 2020 | 2.37 Mn |
| Jun 30, 2020 | 4.54 Mn |
| Mar 31, 2020 | 4.41 Mn |
| Dec 31, 2019 | 6.17 Mn |
| Sep 30, 2019 | 7.44 Mn |
| Jun 30, 2019 | 8.65 Mn |
| Mar 31, 2019 | 9.17 Mn |
| Dec 31, 2018 | 9.38 Mn |
| Sep 30, 2018 | 9.60 Mn |
| Jun 30, 2018 | 8.23 Mn |
| Mar 31, 2018 | 6.77 Mn |
| Dec 31, 2017 | 4.27 Mn |
API Access
vTv Therapeutics Notes 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=notes-payables&ticker=VTVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=VTVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();