NovaBridge Biosciences (NBP) Change in Accrued Expenses (2019 - 2025)
NovaBridge Biosciences' Change in Accrued Expenses came in at $10.71 million for Q4 2025, compared with -$3.31 million a year earlier and up 24.0% from the prior quarter.
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Analysis
NovaBridge Biosciences (NBP) Change in Accrued Expenses (2019 - 2025) Analysis & Trends
For FY2025, NovaBridge Biosciences' Change in Accrued Expenses was $18.08 million.
- Change in Accrued Expenses carries a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- Going back by year, Change in Accrued Expenses was -$213,000 in FY2024, -$35.68 million in FY2023, $18.34 million in FY2022 (-23.2%) and $23.87 million in FY2021 (-10.4%).
- The Q4 2025 figure represents the highest quarterly Change in Accrued Expenses since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 983.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | NovaBridge Biosciences | 99.23 Mn | -696.35 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 10.71 Mn |
| Sep 30, 2025 | 8.64 Mn |
| Dec 31, 2024 | -3.31 Mn |
| Sep 30, 2024 | -240,000.00 |
| Dec 31, 2020 | 28.87 Mn |
| Sep 30, 2020 | 284,190.23 |
| Dec 31, 2019 | 22.16 Mn |
API Access
NovaBridge Biosciences Change in Accrued Expenses 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=change-in-accured-expenses&ticker=NBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();