Neurocrine Biosciences (NBIX) Long-Term Investments (2009 - 2026)
Neurocrine Biosciences (NBIX) recorded Long-Term Investments of $95 million in Q3 2026, down 90.5% from $998.5 million a year earlier and down 35.5% from the prior quarter.
Neurocrine Biosciences (NBIX) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025, Neurocrine Biosciences reported Long-Term Investments of $1.06 billion, up 43.7% from FY2024.
- Annual Long-Term Investments has increased for three straight years, with a five-year compound annual growth rate of 36.2% (FY2020 to FY2025).
- Across earlier years, Long-Term Investments came in at $739.5 million in FY2024 (+7.6%), $687.5 million in FY2023 (+129.6%), $299.4 million in FY2022 (-46.6%) and $560.7 million in FY2021 (+146.9%).
- The Q3 2026 figure is the lowest quarterly Long-Term Investments since Q1 2017.
- On a year-over-year basis, Long-Term Investments rose in six of the last eight quarters, with growth averaging 6.2%.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 186.3% in Q1 2024, against a decline of 90.5% in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $147.3 million (Q2 2026), $1.33 billion (Q1 2026) and $1.06 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.01 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | - |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 387.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 1.60 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 63.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 268.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | - |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.45 Bn |
| 10 | Neurocrine Biosciences | 17.13 Bn | 13.21 Bn | 1.10 Bn | 95.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 95.00 Mn |
| Jun 30, 2026 | 147.30 Mn |
| Mar 31, 2026 | 1.33 Bn |
| Dec 31, 2025 | 1.06 Bn |
| Sep 30, 2025 | 998.50 Mn |
| Jun 30, 2025 | 873.80 Mn |
| Mar 31, 2025 | 815.30 Mn |
| Dec 31, 2024 | 739.50 Mn |
| Sep 30, 2024 | 643.90 Mn |
| Jun 30, 2024 | 637.80 Mn |
| Mar 31, 2024 | 700.40 Mn |
| Dec 31, 2023 | 687.50 Mn |
| Sep 30, 2023 | 454.70 Mn |
| Jun 30, 2023 | 342.60 Mn |
| Mar 31, 2023 | 244.60 Mn |
| Dec 31, 2022 | 299.40 Mn |
| Sep 30, 2022 | 362.60 Mn |
| Jun 30, 2022 | 405.20 Mn |
| Mar 31, 2022 | 541.00 Mn |
| Dec 31, 2021 | 560.70 Mn |
Neurocrine Biosciences Long-Term Investments 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=long-term-investments&ticker=NBIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();