NovaBridge Biosciences (NBP) Depreciation and Depletion (2019 - 2025)
NovaBridge Biosciences (NBP) reported Depreciation and Depletion of $15,000 for Q4 2025, down 31.8% from $22,000 a year earlier and down 11.8% from the prior quarter.
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Analysis
NovaBridge Biosciences (NBP) Depreciation and Depletion (2019 - 2025) Analysis & Trends
For FY2025, NovaBridge Biosciences posted Depreciation and Depletion of $68,000, down 73.9% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of -48.9% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $261,000 in FY2024 (-45.1%), $475,000 in FY2023 (+130.6%), $206,000 in FY2022 (-90.5%) and $2.16 million in FY2021 (+10.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | - |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | NovaBridge Biosciences | 149.78 Mn | 149.78 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 and Depletion 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-depletion&ticker=NBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();