Ovid Therapeutics (OVID) Total Non-Current Liabilities (2019 - 2021)
Ovid Therapeutics' Total Non-Current Liabilities came in at $14.8 million for Q4 2021, down 54.1% from $32.23 million a year earlier.
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Analysis
Ovid Therapeutics (OVID) Total Non-Current Liabilities (2019 - 2021) Analysis & Trends
Going back to Q1 2019, Ovid Therapeutics' Total Non-Current Liabilities data covers 9 quarters.
- Going back by year, Total Non-Current Liabilities was $32.23 million in FY2020 (+206.0%) and $10.53 million in FY2019.
- The Q4 2021 figure represents the lowest quarterly Total Non-Current Liabilities since Q2 2020.
- Year-over-year, Total Non-Current Liabilities increased in four of the last five quarters, with growth averaging 80.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Ovid Therapeutics | 460.04 Mn | 92.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 14.80 Mn |
| Dec 31, 2020 | 32.23 Mn |
| Sep 30, 2020 | 27.89 Mn |
| Jun 30, 2020 | 14.59 Mn |
| Mar 31, 2020 | 9.99 Mn |
| Dec 31, 2019 | 10.53 Mn |
| Sep 30, 2019 | 10.36 Mn |
| Jun 30, 2019 | 9.18 Mn |
| Mar 31, 2019 | 8.07 Mn |
API Access
Ovid 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=OVID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "OVID", "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=OVID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();