NovaBridge Biosciences (NBP) Depreciation & Amortization (CF) (2019 - 2025)
NovaBridge Biosciences (NBP) reported Depreciation & Amortization (CF) of $15,000 for Q4 2025, down 31.8% from $22,000 a year earlier and down 11.8% from the prior quarter.
Powered by 
Analysis
NovaBridge Biosciences (NBP) Depreciation & Amortization (CF) (2019 - 2025) Analysis & Trends
For FY2025, NovaBridge Biosciences posted Depreciation & Amortization (CF) of $68,000, down 77.3% from FY2024.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of -48.3% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $300,000 in FY2024 (-40.0%), $500,000 in FY2023 (+150.0%), $200,000 in FY2022 (-90.7%) and $2.14 million in FY2021 (+16.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.96 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 194.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 599.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.93 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 98.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 1.62 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 56.50 Mn |
| 10 | NovaBridge Biosciences | 150.88 Mn | 150.88 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 15,000.00 |
| Sep 30, 2025 | 17,000.00 |
| Dec 31, 2024 | 22,000.00 |
| Sep 30, 2024 | 20,000.00 |
| Dec 31, 2020 | 755,220.95 |
| Sep 30, 2020 | 382,291.49 |
| Dec 31, 2019 | 425,074.79 |
API Access
NovaBridge Biosciences Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=NBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();