Neurocrine Biosciences (NBIX) Interest Coverage Ratio (2017 - 2026)
Neurocrine Biosciences' Interest Coverage Ratio was 1104.33 in Q3 2026.
Neurocrine Biosciences (NBIX) Interest Coverage Ratio (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Neurocrine Biosciences' Interest Coverage Ratio was 277.22 through Sep 30, 2026, up 10.8% year-over-year; for FY2023, it was 54.54, up 55.5% from FY2022.
- In earlier years, Interest Coverage Ratio was 35.07 in FY2022 (+782.7%), 3.97 in FY2021 (-20.1%), 4.97 in FY2020 (+120.0%) and 2.26 in FY2019 (+87.3%).
- The Q3 2026 figure marks the highest quarterly Interest Coverage Ratio in data going back to Q2 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (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 | 28.50 |
| 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 | 9.20 |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 5.68 |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.87 |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Neurocrine Biosciences | 17.13 Bn | 13.21 Bn | 1.10 Bn | 1,104.33 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1,104.33 |
| Jun 30, 2026 | 52.24 |
| Mar 31, 2024 | 90.27 |
| Dec 31, 2023 | 136.64 |
| Sep 30, 2023 | 128.36 |
| Jun 30, 2023 | 56.62 |
| Mar 31, 2023 | -103.82 |
| Dec 31, 2022 | 94.00 |
| Sep 30, 2022 | 73.17 |
| Jun 30, 2022 | 24.86 |
| Mar 31, 2022 | 1.19 |
| Dec 31, 2021 | -5.50 |
| Sep 30, 2021 | 6.74 |
| Jun 30, 2021 | 10.13 |
| Mar 31, 2021 | 4.92 |
| Dec 31, 2020 | 9.21 |
| Sep 30, 2020 | -5.21 |
| Jun 30, 2020 | 9.23 |
| Mar 31, 2020 | 7.18 |
| Dec 31, 2019 | 5.95 |
Neurocrine Biosciences Interest Coverage 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=interest-coverage-ratio&ticker=NBIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-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=interest-coverage-ratio&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();