Neurocrine Biosciences (NBIX) Total Non-Current Liabilities (2010 - 2026)
Neurocrine Biosciences (NBIX) reported Total Non-Current Liabilities of $1.37 billion for Q2 2026, up 38.8% from $985.4 million a year earlier and up 10.5% from the prior quarter.
Neurocrine Biosciences (NBIX) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Neurocrine Biosciences posted Total Non-Current Liabilities of $1.16 billion, up 20.3% from FY2024.
- Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $962.8 million in FY2024 (+5.4%), $913.1 million in FY2023 (+44.7%), $631.2 million in FY2022 (-8.0%) and $686.2 million in FY2021 (+14.6%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year over year, Total Non-Current Liabilities has now increased in each of the last seven quarters, with growth averaging 23.6% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2025 (growth of 56.6%); the low point was Q2 2022 (a decline of 14.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.24 billion (Q1 2026), $1.16 billion (Q4 2025) and $1.07 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Neurocrine Biosciences | 14.29 Bn | 9.99 Bn | 935.80 Mn | 1.37 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.37 Bn |
| Mar 31, 2026 | 1.24 Bn |
| Dec 31, 2025 | 1.16 Bn |
| Sep 30, 2025 | 1.07 Bn |
| Jun 30, 2025 | 985.40 Mn |
| Mar 31, 2025 | 970.40 Mn |
| Dec 31, 2024 | 962.80 Mn |
| Sep 30, 2024 | 681.10 Mn |
| Jun 30, 2024 | 654.70 Mn |
| Mar 31, 2024 | 829.60 Mn |
| Dec 31, 2023 | 913.10 Mn |
| Sep 30, 2023 | 777.50 Mn |
| Jun 30, 2023 | 671.60 Mn |
| Mar 31, 2023 | 634.00 Mn |
| Dec 31, 2022 | 631.20 Mn |
| Sep 30, 2022 | 581.70 Mn |
| Jun 30, 2022 | 554.30 Mn |
| Mar 31, 2022 | 733.70 Mn |
| Dec 31, 2021 | 686.20 Mn |
| Sep 30, 2021 | 663.00 Mn |
Neurocrine Biosciences Total 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=total-non-current-liabilities&ticker=NBIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();