Neurocrine Biosciences (NBIX) Interest Paid (2017 - 2026)
Neurocrine Biosciences' Interest Paid came in at $1.6 million for FY2024, down 57.9% from $3.8 million in FY2023.
Powered by 
Analysis
Neurocrine Biosciences (NBIX) Interest Paid (2017 - 2026) Analysis & Trends
Going back to FY2017, Neurocrine Biosciences' Interest Paid data covers 8 years.
- Interest Paid has declined in each of the last four years, with a five-year compound annual growth rate of -32.7% (FY2019 to FY2024).
- The FY2024 figure represents the lowest annual Interest Paid in data going back to FY2017.
- Per Business Quant, earlier years put Interest Paid at $3.8 million in FY2023 (-42.4%), $6.6 million in FY2022 (-23.3%), $8.6 million in FY2021 (-25.9%) and $11.6 million in FY2020 (unchanged).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | - |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -1.78 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | - |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 283.00 Mn |
| 10 | Neurocrine Biosciences | 17.13 Bn | 13.21 Bn | 1.10 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.40 Mn |
| Jun 30, 2025 | -2.70 Mn |
| Mar 31, 2025 | 2.70 Mn |
| Jun 30, 2024 | 500,000.00 |
| Mar 31, 2024 | 1.10 Mn |
| Dec 31, 2023 | 1.90 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Dec 31, 2021 | 4.30 Mn |
| Dec 31, 2020 | 5.80 Mn |
| Dec 31, 2019 | 5.80 Mn |
| Dec 31, 2018 | 5.78 Mn |
| Dec 31, 2017 | 6.24 Mn |
API Access
Neurocrine Biosciences Interest Paid 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=interest-paid&ticker=NBIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-paid", "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=interest-paid&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();