Neurocrine Biosciences (NBIX) Change in Taxes (2024 - 2026)
Neurocrine Biosciences (NBIX) posted Change in Taxes of -$59.6 million for Q2 2026, compared with $400,000 a year earlier.
Neurocrine Biosciences (NBIX) Change in Taxes (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Taxes at Neurocrine Biosciences was $25.6 million; for FY2025, it came in at -$18.8 million.
- In prior years, Neurocrine Biosciences' Change in Taxes was $50.3 million in FY2024 (-45.1%) and $91.6 million in FY2023.
- Quarterly Change in Taxes has run from a low of -$70.1 million in Q3 2025 to a high of $119.8 million in Q1 2026 over five years.
- According to Business Quant data, Change in Taxes for the three prior quarters was $119.8 million (Q1 2026), $35.5 million (Q4 2025) and -$70.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | - |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | -2.22 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -1.53 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | -131.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 171.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Neurocrine Biosciences | 14.41 Bn | 10.11 Bn | 935.80 Mn | -59.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -59.60 Mn |
| Mar 31, 2026 | 119.80 Mn |
| Dec 31, 2025 | 35.50 Mn |
| Sep 30, 2025 | -70.10 Mn |
| Jun 30, 2025 | 400,000.00 |
| Mar 31, 2025 | 15.40 Mn |
| Dec 31, 2024 | 55.10 Mn |
Neurocrine Biosciences Change in Taxes 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-taxes&ticker=NBIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();