NovaBridge Biosciences (NBP) Goodwill & Intangibles (2018 - 2023)
NovaBridge Biosciences' Goodwill & Intangibles was $16.4 million in Q4 2023, down 58.5% from $39.57 million a year earlier.
Analysis
NovaBridge Biosciences (NBP) Goodwill & Intangibles (2018 - 2023) Analysis & Trends
At the end of FY2023, Goodwill & Intangibles at NovaBridge Biosciences came in at $16.71 million, down 60.1% from FY2022.
- Goodwill & Intangibles shows a five-year compound annual growth rate of -18.7% (FY2018 to FY2023).
- In earlier years, Goodwill & Intangibles was $41.92 million in FY2022 (-4.2%), $43.76 million in FY2021 (+0.9%), $43.38 million in FY2020 (-3.0%) and $44.73 million in FY2019 (-5.1%).
- The Q4 2023 figure marks the lowest quarterly Goodwill & Intangibles in data going back to Q4 2018.
- The best year-over-year quarter for Goodwill & Intangibles over five years was Q4 2021 (growth of 3.4%); the worst was Q4 2023 (a decline of 58.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 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 |
| 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, 2023 | 16.40 Mn |
| Jun 30, 2023 | 40.13 Mn |
| Dec 31, 2022 | 39.57 Mn |
| Jun 30, 2022 | 42.08 Mn |
| Dec 31, 2021 | 44.15 Mn |
| Jun 30, 2021 | 43.77 Mn |
| Dec 31, 2020 | 42.71 Mn |
| Sep 30, 2020 | 41.11 Mn |
| Jun 30, 2020 | 43.95 Mn |
| Dec 31, 2019 | 44.18 Mn |
| Dec 31, 2018 | 45.04 Mn |
API Access
NovaBridge Biosciences Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=NBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();