Neurocrine Biosciences (NBIX) Operating Expenses (2010 - 2026)
Neurocrine Biosciences (NBIX) reported Operating Expenses of $807.5 million for Q2 2026, up 49.0% from $541.9 million a year earlier and up 30.0% from the prior quarter.
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Analysis
Neurocrine Biosciences (NBIX) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Neurocrine Biosciences' Operating Expenses came in at $2.58 billion, up 28.0% year-over-year; for FY2025, it was $2.24 billion, up 25.6% from FY2024.
- Operating Expenses has increased for 14 consecutive years, with a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.78 billion in FY2024 (+9.1%), $1.64 billion in FY2023 (+32.0%), $1.24 billion in FY2022 (+20.2%) and $1.03 billion in FY2021 (+16.8%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year over year, Operating Expenses has now increased in each of the last nine quarters, with growth averaging 27.6% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 97.8%); the low point was Q1 2024 (a decline of 22.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $621.1 million (Q1 2026), $594.6 million (Q4 2025) and $555.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Neurocrine Biosciences | 14.41 Bn | 10.11 Bn | 935.80 Mn | 807.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 807.50 Mn |
| Mar 31, 2026 | 621.10 Mn |
| Dec 31, 2025 | 594.60 Mn |
| Sep 30, 2025 | 555.90 Mn |
| Jun 30, 2025 | 541.90 Mn |
| Mar 31, 2025 | 549.00 Mn |
| Dec 31, 2024 | 485.70 Mn |
| Sep 30, 2024 | 438.30 Mn |
| Jun 30, 2024 | 444.80 Mn |
| Mar 31, 2024 | 416.00 Mn |
| Dec 31, 2023 | 364.90 Mn |
| Sep 30, 2023 | 357.60 Mn |
| Jun 30, 2023 | 379.10 Mn |
| Mar 31, 2023 | 534.60 Mn |
| Dec 31, 2022 | 308.60 Mn |
| Sep 30, 2022 | 300.10 Mn |
| Jun 30, 2022 | 323.50 Mn |
| Mar 31, 2022 | 307.50 Mn |
| Dec 31, 2021 | 348.30 Mn |
| Sep 30, 2021 | 251.50 Mn |
API Access
Neurocrine Biosciences Operating Expenses 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=operating-expenses&ticker=NBIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();