NovaBridge Biosciences (NBP) Total Debt (2018 - 2023)
NovaBridge Biosciences (NBP) posted Total Debt of $4.16 million for Q4 2023, up 56.2% from $2.67 million a year earlier.
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Analysis
NovaBridge Biosciences (NBP) Total Debt (2018 - 2023) Analysis & Trends
At the end of FY2023, NovaBridge Biosciences' Total Debt came in at $4.24 million, up 50.2% from FY2022.
- Annual Total Debt shows a five-year compound annual growth rate of -18.9% (FY2018 to FY2023).
- In prior years, NovaBridge Biosciences' Total Debt was $2.82 million in FY2022 and $7.18 million in FY2019 (-40.7%).
- Quarterly Total Debt has run from a low of $2.67 million in Q4 2022 to a high of $7.09 million in Q4 2019 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 49.04 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 70.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 53.91 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 37.49 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -111.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 57.30 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 26.25 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 63.19 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | NovaBridge Biosciences | 149.78 Mn | 149.78 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 4.16 Mn |
| Jun 30, 2023 | 4.28 Mn |
| Dec 31, 2022 | 2.67 Mn |
| Dec 31, 2019 | 7.09 Mn |
| Dec 31, 2018 | 11.57 Mn |
API Access
NovaBridge Biosciences Total Debt 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-debt&ticker=NBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "ticker": "NBP", "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-debt&ticker=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();