vTv Therapeutics (VTVT) Debt Ratio (2014 - 2025)
vTv Therapeutics' Debt Ratio came in at 0.00 for Q3 2025.
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Analysis
vTv Therapeutics (VTVT) Debt Ratio (2014 - 2025) Analysis & Trends
For FY2023, vTv Therapeutics' Debt Ratio was 0.02, up 157.2% from FY2022.
- Going back by year, Debt Ratio was 0.01 in FY2022 (-32.9%), 0.01 in FY2021 (+76.9%), 0.01 in FY2020 (-99.1%) and 0.67 in FY2019 (-63.7%).
- The Q3 2025 figure represents the highest quarterly Debt Ratio in data going back to Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 0.33 |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 0.23 |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 0.55 |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 0.41 |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 0.08 |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 0.28 |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 0.56 |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 0.51 |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 0.31 |
| 10 | vTv Therapeutics | 271.03 Mn | -79.85 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 0.00 |
| Dec 31, 2023 | 0.02 |
| Sep 30, 2023 | 0.03 |
| Dec 31, 2022 | 0.01 |
| Sep 30, 2022 | 0.02 |
| Dec 31, 2021 | 0.01 |
| Sep 30, 2021 | 0.02 |
| Dec 31, 2020 | 0.01 |
| Sep 30, 2020 | 0.34 |
| Jun 30, 2020 | 0.43 |
| Mar 31, 2020 | 0.60 |
| Dec 31, 2019 | 0.67 |
| Sep 30, 2019 | 0.97 |
| Jun 30, 2019 | 1.19 |
| Mar 31, 2019 | 1.23 |
| Dec 31, 2018 | 1.84 |
| Sep 30, 2018 | 1.64 |
| Jun 30, 2018 | 1.70 |
| Mar 31, 2018 | 1.35 |
| Dec 31, 2017 | 0.70 |
API Access
vTv Therapeutics Debt Ratio 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=debt-ratio&ticker=VTVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=VTVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();