Neurocrine Biosciences (NBIX) Other Accumulated Expenses (2009 - 2026)
Neurocrine Biosciences (NBIX) posted Other Accumulated Expenses of $61.2 million for Q3 2026, up 14.0% from $53.7 million a year earlier but down 7.6% from the prior quarter.
Neurocrine Biosciences (NBIX) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Neurocrine Biosciences' Other Accumulated Expenses came in at $69.1 million, up 49.9% from FY2024.
- Annual Other Accumulated Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 31.2% (FY2020 to FY2025).
- In prior years, Neurocrine Biosciences' Other Accumulated Expenses was $46.1 million in FY2024 (+28.4%), $35.9 million in FY2023 (+73.4%), $20.7 million in FY2022 (+3.5%) and $20 million in FY2021 (+12.4%).
- Quarterly Other Accumulated Expenses has run from a low of $17.6 million in Q1 2022 to a high of $69.1 million in Q4 2025 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last 16 quarters, with growth averaging 31.1% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q1 2024, with growth of 99.5%; the weakest was Q3 2022, with a decline of 9.5%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $66.2 million (Q2 2026), $58.7 million (Q1 2026) and $69.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 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 |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Neurocrine Biosciences | 17.13 Bn | 13.21 Bn | 1.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 61.20 Mn |
| Jun 30, 2026 | 66.20 Mn |
| Mar 31, 2026 | 58.70 Mn |
| Dec 31, 2025 | 69.10 Mn |
| Sep 30, 2025 | 53.70 Mn |
| Jun 30, 2025 | 56.80 Mn |
| Mar 31, 2025 | 47.70 Mn |
| Dec 31, 2024 | 46.10 Mn |
| Sep 30, 2024 | 37.00 Mn |
| Jun 30, 2024 | 40.00 Mn |
| Mar 31, 2024 | 36.70 Mn |
| Dec 31, 2023 | 35.90 Mn |
| Sep 30, 2023 | 18.70 Mn |
| Jun 30, 2023 | 21.20 Mn |
| Mar 31, 2023 | 18.40 Mn |
| Dec 31, 2022 | 20.70 Mn |
| Sep 30, 2022 | 18.10 Mn |
| Jun 30, 2022 | 20.00 Mn |
| Mar 31, 2022 | 17.60 Mn |
| Dec 31, 2021 | 20.00 Mn |
Neurocrine Biosciences Other Accumulated 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=other-accumulated-expenses&ticker=NBIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "NBIX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();