Neurocrine Biosciences (NBIX) Non-Current Assets (2010 - 2026)
Neurocrine Biosciences' Non-Current Assets was $3.72 billion in Q2 2026, up 73.8% from $2.14 billion a year earlier and up 50.7% from the prior quarter.
Neurocrine Biosciences (NBIX) Non-Current Assets (2010 - 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%).
- The Q2 2026 figure marks the highest quarterly Non-Current Assets in data going back to Q4 2010.
- Compared with a year earlier, Non-Current Assets has increased for 13 straight quarters, with growth averaging 30.0% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q3 2021 (growth of 192.6%); the worst was Q1 2023 (a decline of 17.7%).
- Per Business Quant data, NBIX's Non-Current Assets in the three quarters before Q2 2026 was $2.47 billion (Q1 2026), $2.11 billion (Q4 2025) and $2.11 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,166.12 Bn | 1,134.70 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 634.67 Bn | 553.20 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 503.03 Bn | 476.14 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 377.66 Bn | 332.04 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 303.82 Bn | 267.81 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 266.80 Bn | 240.49 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 240.87 Bn | 196.27 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 193.45 Bn | 167.65 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 172.20 Bn | 118.84 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Neurocrine Biosciences | 14.33 Bn | 10.03 Bn | 935.80 Mn | 3.72 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 1.01 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();