Neurocrine Biosciences (NBIX) Other Non-Current Liabilities (2010 - 2026)
Neurocrine Biosciences' Other Non-Current Liabilities was $297.7 million in Q2 2026, up 41.7% from $210.1 million a year earlier and up 14.1% from the prior quarter.
Neurocrine Biosciences (NBIX) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Neurocrine Biosciences came in at $219.7 million, up 32.2% from FY2024.
- Other Non-Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 86.6% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $166.2 million in FY2024 (+56.3%), $106.3 million in FY2023 (+257.9%), $29.7 million in FY2022 (+141.5%) and $12.3 million in FY2021 (+26.8%).
- The Q2 2026 figure marks the highest quarterly Other Non-Current Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Other Non-Current Liabilities has increased for 16 straight quarters, with growth averaging 49.7% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q3 2023 (growth of 301.2%); the worst was Q1 2022 (a decline of 7.5%).
- Per Business Quant data, NBIX's Other Non-Current Liabilities in the three quarters before Q2 2026 was $260.9 million (Q1 2026), $219.7 million (Q4 2025) and $195.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Neurocrine Biosciences | 14.29 Bn | 9.99 Bn | 935.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 297.70 Mn |
| Mar 31, 2026 | 260.90 Mn |
| Dec 31, 2025 | 219.70 Mn |
| Sep 30, 2025 | 195.70 Mn |
| Jun 30, 2025 | 210.10 Mn |
| Mar 31, 2025 | 181.60 Mn |
| Dec 31, 2024 | 166.20 Mn |
| Sep 30, 2024 | 135.00 Mn |
| Jun 30, 2024 | 141.10 Mn |
| Mar 31, 2024 | 256.70 Mn |
| Dec 31, 2023 | 106.30 Mn |
| Sep 30, 2023 | 68.60 Mn |
| Jun 30, 2023 | 88.50 Mn |
| Mar 31, 2023 | 41.30 Mn |
| Dec 31, 2022 | 29.70 Mn |
| Sep 30, 2022 | 17.10 Mn |
| Jun 30, 2022 | 28.00 Mn |
| Mar 31, 2022 | 19.70 Mn |
| Dec 31, 2021 | 12.30 Mn |
| Sep 30, 2021 | 8.30 Mn |
Neurocrine Biosciences Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=NBIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();