Neurocrine Biosciences (NBIX) Debt Ratio (2018 - 2024)
Neurocrine Biosciences' Debt Ratio came in at 0.04 for Q1 2024, down 32.4% from the prior quarter.
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Analysis
Neurocrine Biosciences (NBIX) Debt Ratio (2018 - 2024) Analysis & Trends
For FY2023, Neurocrine Biosciences' Debt Ratio was 0.05, down 26.8% from FY2022.
- Going back by year, Debt Ratio was 0.07 in FY2022 and 0.31 in FY2019.
- The Q1 2024 figure represents the lowest quarterly Debt Ratio in data going back to Q3 2018.
- Business Quant data shows NBIX's Debt Ratio at 0.05 (Q4 2023), 0.06 (Q3 2023) and 0.06 (Q2 2023) in the three quarters before Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | - |
| 10 | Neurocrine Biosciences | 14.06 Bn | 9.76 Bn | 935.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 0.04 |
| Dec 31, 2023 | 0.05 |
| Sep 30, 2023 | 0.06 |
| Jun 30, 2023 | 0.06 |
| Dec 31, 2022 | 0.07 |
| Sep 30, 2022 | 0.08 |
| Sep 30, 2020 | 0.28 |
| Jun 30, 2020 | 0.28 |
| Dec 31, 2019 | 0.31 |
| Sep 30, 2018 | 0.41 |
API Access
Neurocrine Biosciences Debt Ratio 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=debt-ratio&ticker=NBIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();