Neurocrine Biosciences (NBIX) Total Debt (2018 - 2024)
Neurocrine Biosciences (NBIX) reported Total Debt of $122.8 million for Q1 2024, down 27.8% from the prior quarter.
Analysis
Neurocrine Biosciences (NBIX) Total Debt (2018 - 2024) Analysis & Trends
At the end of FY2023, Neurocrine Biosciences posted Total Debt of $170.1 million, up 0.4% from FY2022.
- Total Debt has a four-year compound annual growth rate of -19.7% (FY2019 to FY2023).
- By year, Total Debt came in at $169.4 million in FY2022 and $408.8 million in FY2019.
- The Q1 2024 figure ranks as the lowest quarterly Total Debt in data going back to Q3 2018.
- Per Business Quant data, the three quarters before Q1 2024 came in at $170.1 million (Q4 2023), $169.9 million (Q3 2023) and $169.7 million (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 49.04 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 70.82 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 53.91 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 37.49 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -111.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 57.30 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 26.25 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 63.19 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Neurocrine Biosciences | 14.41 Bn | 10.11 Bn | 935.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 122.80 Mn |
| Dec 31, 2023 | 170.10 Mn |
| Sep 30, 2023 | 169.90 Mn |
| Jun 30, 2023 | 169.70 Mn |
| Dec 31, 2022 | 169.40 Mn |
| Sep 30, 2022 | 169.20 Mn |
| Sep 30, 2020 | 425.00 Mn |
| Jun 30, 2020 | 419.50 Mn |
| Dec 31, 2019 | 408.80 Mn |
| Sep 30, 2018 | 383.65 Mn |
API Access
Neurocrine Biosciences Total Debt 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-debt&ticker=NBIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();