Neurocrine Biosciences (NBIX) Tax Provisions (2019 - 2026)
Neurocrine Biosciences (NBIX) posted Tax Provisions of $77.2 million for Q3 2026, down 6.2% from $82.3 million a year earlier but up 333.7% from the prior quarter.
Neurocrine Biosciences (NBIX) Tax Provisions (2019 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Tax Provisions at Neurocrine Biosciences was $229.6 million, up 14.5% year-over-year; for FY2025, it came in at $226.8 million, up 56.7% from FY2024.
- Annual Tax Provisions has increased for four consecutive years.
- In prior years, Neurocrine Biosciences' Tax Provisions was $144.7 million in FY2024 (+75.6%), $82.4 million in FY2023 (+38.7%), $59.4 million in FY2022 (+403.4%) and $11.8 million in FY2021.
- Quarterly Tax Provisions has run from a low of -$26.7 million in Q1 2023 to a high of $85.7 million in Q4 2025 over five years.
- On a year-over-year basis, Tax Provisions increased in five of the last seven quarters, with growth averaging 100.0%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q1 2026, with growth of 619.1%; the weakest was Q2 2026, with a decline of 65.8%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $17.8 million (Q2 2026), $48.9 million (Q1 2026) and $85.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 1.96 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | -176.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 609.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 492.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -842.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 822.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 634.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 134.00 Mn |
| 10 | Neurocrine Biosciences | 17.13 Bn | 13.21 Bn | 1.10 Bn | 77.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 77.20 Mn |
| Jun 30, 2026 | 17.80 Mn |
| Mar 31, 2026 | 48.90 Mn |
| Dec 31, 2025 | 85.70 Mn |
| Sep 30, 2025 | 82.30 Mn |
| Jun 30, 2025 | 52.00 Mn |
| Mar 31, 2025 | 6.80 Mn |
| Dec 31, 2024 | 59.50 Mn |
| Sep 30, 2024 | 60.50 Mn |
| Jun 30, 2024 | 33.60 Mn |
| Mar 31, 2024 | -8.90 Mn |
| Dec 31, 2023 | 50.50 Mn |
| Sep 30, 2023 | 32.50 Mn |
| Jun 30, 2023 | 26.10 Mn |
| Mar 31, 2023 | -26.70 Mn |
| Dec 31, 2022 | 28.90 Mn |
| Sep 30, 2022 | 29.40 Mn |
| Jun 30, 2022 | -6.40 Mn |
| Mar 31, 2022 | 7.50 Mn |
| Dec 31, 2021 | -6.50 Mn |
Neurocrine Biosciences Tax Provisions 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=tax-provisions&ticker=NBIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();