NovaBridge Biosciences (NBP) Return on Sales [ROS] (2019 - 2023)
NovaBridge Biosciences' Return on Sales [ROS] came in at -789260.00% for Q4 2023, down 785884.13 percentage points from the prior quarter.
Powered by 
Analysis
NovaBridge Biosciences (NBP) Return on Sales [ROS] (2019 - 2023) Analysis & Trends
For FY2023, NovaBridge Biosciences' Return on Sales [ROS] was -11395.09%, down 7972.92 percentage points from FY2022.
- Return on Sales [ROS] has declined in each of the last three years, with a five-year change of -10579.49 percentage points (FY2018 to FY2023).
- Going back by year, Return on Sales [ROS] was -3422.18% in FY2022 (-1097.39 pp), -2324.79% in FY2021 (-2319.51 pp), -5.27% in FY2020 (+4878.23 pp) and -4883.50% in FY2019 (-4067.90 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | NovaBridge Biosciences | 99.23 Mn | -696.35 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -789,260.00% |
| Sep 30, 2023 | -3,375.87% |
| Jun 30, 2023 | -7,578.62% |
| Dec 31, 2020 | 60.24% |
| Sep 30, 2019 | -2,042.94% |
API Access
NovaBridge Biosciences Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=NBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();