Biomarin Pharmaceutical (BMRN) Operating Expenses (2009 - 2026)
Biomarin Pharmaceutical's Operating Expenses came in at $878.79 million for Q2 2026, up 60.2% from $548.52 million a year earlier and up 38.1% from the prior quarter.
Biomarin Pharmaceutical (BMRN) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Biomarin Pharmaceutical reported Operating Expenses of $3.26 billion, up 42.4% year-over-year; for FY2025, it was $2.81 billion, up 18.7% from FY2024.
- Operating Expenses has increased in each of the last eight years, with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $2.37 billion in FY2024 (+6.1%), $2.23 billion in FY2023 (+15.4%), $1.94 billion in FY2022 (+0.3%) and $1.93 billion in FY2021 (+1.3%).
- The five-year range for quarterly Operating Expenses is $382.03 million (Q1 2022) to $919.18 million (Q4 2025).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 20.6% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2026 (growth of 60.2%), and the weakest in Q1 2022 (a decline of 17.1%).
- Business Quant data shows BMRN's Operating Expenses at $636.57 million (Q1 2026), $919.18 million (Q4 2025) and $822.83 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Biomarin Pharmaceutical | 11.51 Bn | 5.37 Bn | 786.91 Mn | 878.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 878.79 Mn |
| Mar 31, 2026 | 636.57 Mn |
| Dec 31, 2025 | 919.18 Mn |
| Sep 30, 2025 | 822.83 Mn |
| Jun 30, 2025 | 548.52 Mn |
| Mar 31, 2025 | 521.25 Mn |
| Dec 31, 2024 | 585.91 Mn |
| Sep 30, 2024 | 631.85 Mn |
| Jun 30, 2024 | 591.58 Mn |
| Mar 31, 2024 | 560.37 Mn |
| Dec 31, 2023 | 618.93 Mn |
| Sep 30, 2023 | 550.80 Mn |
| Jun 30, 2023 | 529.71 Mn |
| Mar 31, 2023 | 534.01 Mn |
| Dec 31, 2022 | 550.63 Mn |
| Sep 30, 2022 | 507.76 Mn |
| Jun 30, 2022 | 494.65 Mn |
| Mar 31, 2022 | 382.03 Mn |
| Dec 31, 2021 | 515.69 Mn |
| Sep 30, 2021 | 461.96 Mn |
Biomarin Pharmaceutical 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=BMRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BMRN", "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=BMRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();