vTv Therapeutics (VTVT) Total Non-Current Liabilities (2014 - 2023)
vTv Therapeutics (VTVT) posted Total Non-Current Liabilities of $47.1 million for Q1 2023, up 71.2% from $27.51 million a year earlier and up 8.8% from the prior quarter.
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Analysis
vTv Therapeutics (VTVT) Total Non-Current Liabilities (2014 - 2023) Analysis & Trends
At the end of FY2022, vTv Therapeutics' Total Non-Current Liabilities came in at $43.29 million, up 27.5% from FY2021.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -24.7% (FY2017 to FY2022).
- In prior years, vTv Therapeutics' Total Non-Current Liabilities was $33.95 million in FY2021 (-63.1%), $92.02 million in FY2020 (+65.2%), $55.69 million in FY2019 (-37.4%) and $88.98 million in FY2018 (-50.1%).
- Quarterly Total Non-Current Liabilities has run from a low of $27.51 million in Q1 2022 to a high of $92.02 million in Q4 2020 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in two of the last eight quarters, with an average decline of 9.9%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2023, with growth of 71.2%; the weakest was Q3 2018, with a decline of 65.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $43.29 million (Q4 2022), $50.68 million (Q3 2022) and $44.8 million (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | vTv Therapeutics | 341.81 Mn | -30.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 47.10 Mn |
| Dec 31, 2022 | 43.29 Mn |
| Sep 30, 2022 | 50.68 Mn |
| Jun 30, 2022 | 44.80 Mn |
| Mar 31, 2022 | 27.51 Mn |
| Dec 31, 2021 | 33.95 Mn |
| Sep 30, 2021 | 50.67 Mn |
| Jun 30, 2021 | 65.85 Mn |
| Mar 31, 2021 | 68.46 Mn |
| Dec 31, 2020 | 91.97 Mn |
| Sep 30, 2020 | 55.62 Mn |
| Jun 30, 2020 | 76.57 Mn |
| Mar 31, 2020 | 65.99 Mn |
| Dec 31, 2019 | 55.43 Mn |
| Sep 30, 2019 | 54.13 Mn |
| Jun 30, 2019 | 57.47 Mn |
| Mar 31, 2019 | 66.70 Mn |
| Dec 31, 2018 | 88.72 Mn |
| Sep 30, 2018 | 54.43 Mn |
| Jun 30, 2018 | 82.37 Mn |
API Access
vTv Therapeutics Total Non-Current 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-non-current-liabilities&ticker=VTVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=VTVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();