Neurocrine Biosciences (NBIX) Tax Provisions (2019 - 2026)
Neurocrine Biosciences (NBIX) posted Tax Provisions of $17.8 million for Q2 2026, down 65.8% from $52 million a year earlier and down 63.6% from the prior quarter.
Neurocrine Biosciences (NBIX) Tax Provisions (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Neurocrine Biosciences was $234.7 million, up 31.3% 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.
- The Q2 2026 figure stands as the lowest quarterly Tax Provisions since Q1 2025.
- On a year-over-year basis, Tax Provisions increased in six of the last seven quarters, with growth averaging 113.2%.
- 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 $48.9 million (Q1 2026), $85.7 million (Q4 2025) and $82.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.21 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 662.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 654.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -1.01 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -291.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 393.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 242.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -407.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 292.00 Mn |
| 10 | Neurocrine Biosciences | 14.41 Bn | 10.11 Bn | 935.80 Mn | 17.80 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 8.00 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();