Neurocrine Biosciences (NBIX) Times Interest Earned (2017 - 2026)
Neurocrine Biosciences' (NBIX) Times Interest Earned stood at 52.24 in Q2 2026.
Neurocrine Biosciences (NBIX) Times Interest Earned (2017 - 2026) Analysis & Trends
On a TTM basis, Neurocrine Biosciences' Times Interest Earned came in at 155.84 as of Jun 30, 2026, up 3.9% year-over-year; for FY2023, it came in at 54.54, up 55.5% from FY2022.
- Across earlier years, Times Interest Earned came in at 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 Q2 2026 figure is the highest quarterly Times Interest Earned since Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 28.50 |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | - |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 10.28 |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 7.27 |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 5.22 |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -42.08 |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | - |
| 10 | Neurocrine Biosciences | 14.41 Bn | 10.11 Bn | 935.80 Mn | 52.24 |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2019 | 11.26 |
Neurocrine Biosciences Times Interest Earned 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=times-interest-earned&ticker=NBIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();