BeOne Medicines (ONC) Accumulated Expenses (2015 - 2026)
BeOne Medicines (ONC) posted Accumulated Expenses of $1.26 billion for Q2 2026, up 39.1% from $908.88 million a year earlier and up 17.1% from the prior quarter.
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Analysis
BeOne Medicines (ONC) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025, BeOne Medicines' Accumulated Expenses came in at $1.11 billion, up 38.0% from FY2024.
- Annual Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 26.2% (FY2020 to FY2025).
- In prior years, BeOne Medicines' Accumulated Expenses was $803.71 million in FY2024 (+15.9%), $693.73 million in FY2023 (+48.4%), $467.35 million in FY2022 (-16.3%) and $558.06 million in FY2021 (+61.2%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2015.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 14 quarters, with growth averaging 36.6% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2021, with growth of 61.2%; the weakest was Q4 2022, with a decline of 16.3%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $1.08 billion (Q1 2026), $1.11 billion (Q4 2025) and $1 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn |
| 10 | BeOne Medicines | 41.22 Bn | 22.75 Bn | 1.53 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 Bn |
| Mar 31, 2026 | 1.08 Bn |
| Dec 31, 2025 | 1.11 Bn |
| Sep 30, 2025 | 1.00 Bn |
| Jun 30, 2025 | 908.88 Mn |
| Mar 31, 2025 | 692.18 Mn |
| Dec 31, 2024 | 803.71 Mn |
| Sep 30, 2024 | 717.34 Mn |
| Jun 30, 2024 | 646.54 Mn |
| Mar 31, 2024 | 569.44 Mn |
| Dec 31, 2023 | 693.73 Mn |
| Sep 30, 2023 | 505.82 Mn |
| Jun 30, 2023 | 454.95 Mn |
| Mar 31, 2023 | 417.92 Mn |
| Dec 31, 2022 | 467.35 Mn |
| Sep 30, 2022 | 410.26 Mn |
| Jun 30, 2022 | 454.18 Mn |
| Mar 31, 2022 | 385.98 Mn |
| Dec 31, 2021 | 558.06 Mn |
| Sep 30, 2021 | 389.87 Mn |
API Access
BeOne Medicines Accumulated 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=accumulated-expenses&ticker=ONC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ONC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();