NovaBridge Biosciences (NBP) Non Operating Interest Expenses (2019 - 2020)
NovaBridge Biosciences (NBP) recorded Non Operating Interest Expenses of $102,000 in FY2023, compared with $1,000 in FY2022.
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Analysis
NovaBridge Biosciences (NBP) Non Operating Interest Expenses (2019 - 2020) Analysis & Trends
Starting with FY2017, NovaBridge Biosciences' Non Operating Interest Expenses history includes 6 years.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of -43.5% (FY2018 to FY2023).
- The FY2023 figure is the highest annual Non Operating Interest Expenses since FY2020.
- Per Business Quant data, NBP's Non Operating Interest Expenses was $1,000 in FY2022, $147,000 in FY2020 (-65.8%) and $430,000 in FY2019 (-75.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | NovaBridge Biosciences | 99.23 Mn | -696.35 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 276,532.85 |
| Dec 31, 2019 | 74,487.40 |
| Sep 30, 2019 | 628,027.28 |
API Access
NovaBridge Biosciences Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=NBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();