NovaBridge Biosciences (NBP) Return on Equity [ROE] (2020 - 2025)
NovaBridge Biosciences' Return on Equity [ROE] came in at -36.07% for Q4 2025, down 25.47 percentage points from -10.60% a year earlier and down 27.73 percentage points from the prior quarter.
NovaBridge Biosciences (NBP) Return on Equity [ROE] (2020 - 2025) Analysis & Trends
For FY2025, NovaBridge Biosciences' Return on Equity [ROE] was -40.89%, down 30.87 percentage points from FY2024.
- Return on Equity [ROE] carries a five-year change of -49.25 percentage points (FY2020 to FY2025).
- Going back by year, Return on Equity [ROE] was -10.02% in FY2024 (+52.89 pp), -62.91% in FY2023 (+1.60 pp), -64.52% in FY2022 (-23.80 pp) and -40.71% in FY2021 (-49.08 pp).
- The Q4 2025 figure represents the lowest quarterly Return on Equity [ROE] in data going back to Q4 2020.
- Business Quant data shows NBP's Return on Equity [ROE] at -8.34% (Q3 2025), -18.77% (Q2 2025) and -5.08% (Q1 2025) in the three quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.32% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 7.21% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 84.40% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 21.39% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.75% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -18.38% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.97% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 22.24% |
| 10 | NovaBridge Biosciences | 150.88 Mn | 150.88 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -36.07% |
| Sep 30, 2025 | -8.34% |
| Jun 30, 2025 | -18.77% |
| Mar 31, 2025 | -5.08% |
| Dec 31, 2024 | -10.60% |
| Sep 30, 2024 | -33.69% |
| Jun 30, 2023 | 18.40% |
| Dec 31, 2020 | 13.58% |
NovaBridge Biosciences Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=NBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();