Neurocrine Biosciences (NBIX) Non-Current Assets (2009 - 2026)
Neurocrine Biosciences' Non-Current Assets was $3.62 billion in Q3 2026, up 71.7% from $2.11 billion a year earlier but down 2.8% from the prior quarter.
Neurocrine Biosciences (NBIX) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Neurocrine Biosciences came in at $2.11 billion, up 5.8% from FY2024.
- Non-Current Assets has now increased for three consecutive years, with a five-year compound annual growth rate of 24.0% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $1.99 billion in FY2024 (+21.3%), $1.64 billion in FY2023 (+79.7%), $915.2 million in FY2022 (-16.8%) and $1.1 billion in FY2021 (+53.1%).
- Quarterly Non-Current Assets has moved between $915.2 million (Q4 2022) and $3.72 billion (Q2 2026) over five years.
- Compared with a year earlier, Non-Current Assets has increased for 14 straight quarters, with growth averaging 34.2% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q1 2024 (growth of 80.5%); the worst was Q1 2023 (a decline of 17.7%).
- Per Business Quant data, NBIX's Non-Current Assets in the three quarters before Q3 2026 was $3.72 billion (Q2 2026), $2.47 billion (Q1 2026) and $2.11 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 82.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 141.07 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 110.20 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 75.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 88.47 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 61.69 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 34.86 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 159.99 Bn |
| 10 | Neurocrine Biosciences | 17.13 Bn | 13.21 Bn | 1.10 Bn | 3.62 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.62 Bn |
| Jun 30, 2026 | 3.72 Bn |
| Mar 31, 2026 | 2.47 Bn |
| Dec 31, 2025 | 2.11 Bn |
| Sep 30, 2025 | 2.11 Bn |
| Jun 30, 2025 | 2.14 Bn |
| Mar 31, 2025 | 2.05 Bn |
| Dec 31, 2024 | 1.99 Bn |
| Sep 30, 2024 | 1.66 Bn |
| Jun 30, 2024 | 1.64 Bn |
| Mar 31, 2024 | 1.67 Bn |
| Dec 31, 2023 | 1.64 Bn |
| Sep 30, 2023 | 1.20 Bn |
| Jun 30, 2023 | 1.12 Bn |
| Mar 31, 2023 | 927.00 Mn |
| Dec 31, 2022 | 915.20 Mn |
| Sep 30, 2022 | 937.90 Mn |
| Jun 30, 2022 | 986.40 Mn |
| Mar 31, 2022 | 1.13 Bn |
| Dec 31, 2021 | 1.10 Bn |
Neurocrine Biosciences Non-Current Assets 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=non-current-assets&ticker=NBIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();