Neurocrine Biosciences (NBIX) EBITDA (2010 - 2026)
Neurocrine Biosciences (NBIX) recorded EBITDA of $176.3 million in Q2 2026, up 15.3% from $152.9 million a year earlier but down 12.2% from the prior quarter.
Neurocrine Biosciences (NBIX) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Neurocrine Biosciences' EBITDA came in at $842.1 million as of Jun 30, 2026, up 60.9% year-over-year; for FY2025, it was $649.2 million, up 8.6% from FY2024.
- Annual EBITDA has increased for four straight years, with a five-year compound annual growth rate of 30.5% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $597.6 million in FY2024 (+119.5%), $272.2 million in FY2023 (+2.9%), $264.6 million in FY2022 (+133.3%) and $113.4 million in FY2021 (-33.9%).
- Quarterly EBITDA has ranged from -$109.2 million in Q1 2023 to $246.7 million in Q3 2025 over the past five years.
- On a year-over-year basis, EBITDA has increased for five consecutive quarters, with growth averaging 73.7% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 543.3% in Q1 2026, against a decline of 81.2% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $200.7 million (Q1 2026), $218.4 million (Q4 2025) and $246.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 9.10 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 8.33 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 999.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 5.09 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 4.63 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | -9.70 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 5.89 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 1.30 Bn |
| 10 | Neurocrine Biosciences | 14.06 Bn | 9.76 Bn | 935.80 Mn | 176.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 176.30 Mn |
| Mar 31, 2026 | 200.70 Mn |
| Dec 31, 2025 | 218.40 Mn |
| Sep 30, 2025 | 246.70 Mn |
| Jun 30, 2025 | 152.90 Mn |
| Mar 31, 2025 | 31.20 Mn |
| Dec 31, 2024 | 149.10 Mn |
| Sep 30, 2024 | 190.30 Mn |
| Jun 30, 2024 | 152.70 Mn |
| Mar 31, 2024 | 105.50 Mn |
| Dec 31, 2023 | 156.00 Mn |
| Sep 30, 2023 | 146.70 Mn |
| Jun 30, 2023 | 78.70 Mn |
| Mar 31, 2023 | -109.20 Mn |
| Dec 31, 2022 | 107.80 Mn |
| Sep 30, 2022 | 91.80 Mn |
| Jun 30, 2022 | 58.60 Mn |
| Mar 31, 2022 | 6.40 Mn |
| Dec 31, 2021 | -33.30 Mn |
| Sep 30, 2021 | 47.30 Mn |
Neurocrine Biosciences EBITDA 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=ebitda&ticker=NBIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();