BeOne Medicines (ONC) Operating Expenses (2015 - 2026)
BeOne Medicines' Operating Expenses was $1.21 billion in Q2 2026, up 13.4% from $1.06 billion a year earlier and up 10.0% from the prior quarter.
BeOne Medicines (ONC) Operating Expenses (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, BeOne Medicines' Operating Expenses was $4.53 billion through Jun 30, 2026, up 13.1% year-over-year; for FY2025, it came in at $4.23 billion, up 11.7% from FY2024.
- Operating Expenses has now increased for 11 consecutive years, with a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $3.78 billion in FY2024 (+15.1%), $3.29 billion in FY2023 (+12.6%), $2.92 billion in FY2022 (+19.1%) and $2.45 billion in FY2021 (+24.6%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2015.
- Compared with a year earlier, Operating Expenses has increased for 11 straight quarters, with growth averaging 13.5% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2023 (growth of 62.3%); the worst was Q4 2022 (a decline of 9.4%).
- Per Business Quant data, ONC's Operating Expenses in the three quarters before Q2 2026 was $1.1 billion (Q1 2026), $1.17 billion (Q4 2025) and $1.05 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 6.68 Bn |
| 10 | BeOne Medicines | 41.22 Bn | 22.75 Bn | 1.53 Bn | 1.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.21 Bn |
| Mar 31, 2026 | 1.10 Bn |
| Dec 31, 2025 | 1.17 Bn |
| Sep 30, 2025 | 1.05 Bn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | 941.18 Mn |
| Dec 31, 2024 | 1.05 Bn |
| Sep 30, 2024 | 951.40 Mn |
| Jun 30, 2024 | 898.20 Mn |
| Mar 31, 2024 | 888.07 Mn |
| Dec 31, 2023 | 912.37 Mn |
| Sep 30, 2023 | 818.97 Mn |
| Jun 30, 2023 | 817.99 Mn |
| Mar 31, 2023 | 737.27 Mn |
| Dec 31, 2022 | 562.24 Mn |
| Sep 30, 2022 | 825.99 Mn |
| Jun 30, 2022 | 780.97 Mn |
| Mar 31, 2022 | 749.91 Mn |
| Dec 31, 2021 | 620.81 Mn |
| Sep 30, 2021 | 668.77 Mn |
BeOne Medicines 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=ONC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ONC", "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=ONC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();