NovaBridge Biosciences (NBP) Exchange Rate Effect (2019 - 2025)
NovaBridge Biosciences (NBP) posted Exchange Rate Effect of $187,000 for Q4 2025, compared with -$6,000 a year earlier and up 156.2% from the prior quarter.
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Analysis
NovaBridge Biosciences (NBP) Exchange Rate Effect (2019 - 2025) Analysis & Trends
For FY2025, NovaBridge Biosciences' Exchange Rate Effect came in at $276,000, down 84.5% from FY2024.
- Annual Exchange Rate Effect has declined for three consecutive years.
- In prior years, NovaBridge Biosciences' Exchange Rate Effect was $1.78 million in FY2024 (-68.2%), $5.61 million in FY2023 (-60.5%), $14.2 million in FY2022 and -$20.21 million in FY2021.
- The Q4 2025 figure stands as the highest quarterly Exchange Rate Effect since Q3 2024.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was $73,000 (Q3 2025), $8,000 (Q2 2025) and $3,000 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | -52.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 5.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | -7.00 Mn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | -37.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | -18.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.00 Mn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -19.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | -4.00 Mn |
| 10 | NovaBridge Biosciences | 131.20 Mn | -664.38 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 187,000.00 |
| Sep 30, 2025 | 73,000.00 |
| Dec 31, 2024 | -6,000.00 |
| Sep 30, 2024 | 599,000.00 |
| Dec 31, 2020 | -17.61 Mn |
| Sep 30, 2020 | -3.23 Mn |
| Dec 31, 2019 | -8.86 Mn |
API Access
NovaBridge Biosciences Exchange Rate Effect 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=exchange-rate-effect&ticker=NBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();