Neurocrine Biosciences (NBIX) Short term Debt (2018 - 2024)
Neurocrine Biosciences' Short term Debt came in at $122.8 million for Q1 2024, down 27.8% from the prior quarter.
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Analysis
Neurocrine Biosciences (NBIX) Short term Debt (2018 - 2024) Analysis & Trends
At the end of FY2023, Neurocrine Biosciences' Short term Debt was $170.1 million, up 0.4% from FY2022.
- Short term Debt carries a four-year compound annual growth rate of -19.7% (FY2019 to FY2023).
- Going back by year, Short term Debt was $169.4 million in FY2022 and $408.8 million in FY2019.
- The Q1 2024 figure represents the lowest quarterly Short term Debt in data going back to Q3 2018.
- Business Quant data shows NBIX's Short term Debt at $170.1 million (Q4 2023), $169.9 million (Q3 2023) and $169.7 million (Q2 2023) in the three quarters before Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 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 Short term 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=short-term-debt&ticker=NBIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-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=short-term-debt&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();