NovaBridge Biosciences (NBP) Rent Expense (2019 - 2020)
NovaBridge Biosciences' Rent Expense came in at $3.94 million for FY2023, down 27.9% from $5.47 million in FY2022.
Powered by 
Analysis
NovaBridge Biosciences (NBP) Rent Expense (2019 - 2020) Analysis & Trends
Going back to FY2019, NovaBridge Biosciences' Rent Expense data covers 5 years.
- Rent Expense carries a four-year compound annual growth rate of 47.4% (FY2019 to FY2023).
- The five-year range for annual Rent Expense is $834,000 (FY2019) to $5.47 million (FY2022).
- Per Business Quant, earlier years put Rent Expense at $5.47 million in FY2022 (+77.9%), $3.07 million in FY2021 (+127.0%), $1.35 million in FY2020 (+62.4%) and $834,000 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | - |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | - |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | - |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | - |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 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, 2020 | 286,999.05 |
| Sep 30, 2020 | 414,943.75 |
| Dec 31, 2019 | 195,227.94 |
API Access
NovaBridge Biosciences Rent Expense 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=rent-expense&ticker=NBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();