Neurocrine Biosciences (NBIX) Total Liabilities (2010 - 2026)
Neurocrine Biosciences (NBIX) reported Total Liabilities of $1.67 billion for Q2 2026, up 39.3% from $1.2 billion a year earlier and up 11.1% from the prior quarter.
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Analysis
Neurocrine Biosciences (NBIX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Neurocrine Biosciences posted Total Liabilities of $1.38 billion, up 22.1% from FY2024.
- Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 17.8% (FY2020 to FY2025).
- By year, Total Liabilities came in at $1.13 billion in FY2024 (+10.8%), $1.02 billion in FY2023 (+54.2%), $660.9 million in FY2022 (-5.4%) and $698.5 million in FY2021 (+14.8%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year over year, Total Liabilities has now increased in each of the last seven quarters, with growth averaging 26.2% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2024 (growth of 60.9%); the low point was Q2 2022 (a decline of 14.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.5 billion (Q1 2026), $1.38 billion (Q4 2025) and $1.26 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Neurocrine Biosciences | 14.41 Bn | 10.11 Bn | 935.80 Mn | 1.67 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.67 Bn |
| Mar 31, 2026 | 1.50 Bn |
| Dec 31, 2025 | 1.38 Bn |
| Sep 30, 2025 | 1.26 Bn |
| Jun 30, 2025 | 1.20 Bn |
| Mar 31, 2025 | 1.15 Bn |
| Dec 31, 2024 | 1.13 Bn |
| Sep 30, 2024 | 816.10 Mn |
| Jun 30, 2024 | 795.80 Mn |
| Mar 31, 2024 | 1.09 Bn |
| Dec 31, 2023 | 1.02 Bn |
| Sep 30, 2023 | 846.10 Mn |
| Jun 30, 2023 | 760.10 Mn |
| Mar 31, 2023 | 675.30 Mn |
| Dec 31, 2022 | 660.90 Mn |
| Sep 30, 2022 | 598.80 Mn |
| Jun 30, 2022 | 582.30 Mn |
| Mar 31, 2022 | 753.40 Mn |
| Dec 31, 2021 | 698.50 Mn |
| Sep 30, 2021 | 671.30 Mn |
API Access
Neurocrine Biosciences Total 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-liabilities&ticker=NBIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();