NovaBridge Biosciences (NBP) Capital Expenditures (2019 - 2024)
NovaBridge Biosciences (NBP) reported Capital Expenditures of -$7,000 for FY2025, compared with -$48,000 in FY2024.
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Analysis
NovaBridge Biosciences (NBP) Capital Expenditures (2019 - 2024) Analysis & Trends
Dating back to FY2017, NovaBridge Biosciences' Capital Expenditures record includes 9 years.
- The FY2025 figure ranks as the highest annual Capital Expenditures in data going back to FY2017.
- According to Business Quant data, Capital Expenditures came in at -$48,000 in FY2024, -$164,000 in FY2023, -$2.09 million in FY2022 and -$4.7 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 112.20 Mn |
| 10 | NovaBridge Biosciences | 150.88 Mn | 150.88 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -38,000.00 |
| Sep 30, 2024 | -1,000.00 |
| Dec 31, 2020 | -489,950.53 |
| Sep 30, 2020 | -668,359.95 |
| Dec 31, 2019 | -1.08 Mn |
API Access
NovaBridge Biosciences Capital Expenditures 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=capital-expenditures&ticker=NBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();