BeOne Medicines (ONC) Selling, General & Administrative (2015 - 2026)
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Analysis
BeOne Medicines (ONC) Selling, General & Administrative (2015 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 3.28 Bn |
| 10 | BeOne Medicines | 45.42 Bn | 26.95 Bn | 1.53 Bn | 593.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 593.21 Mn |
| Mar 31, 2026 | 555.10 Mn |
| Dec 31, 2025 | 555.29 Mn |
| Sep 30, 2025 | 529.00 Mn |
| Jun 30, 2025 | 537.91 Mn |
| Mar 31, 2025 | 459.29 Mn |
| Dec 31, 2024 | 504.68 Mn |
| Sep 30, 2024 | 455.22 Mn |
| Jun 30, 2024 | 443.73 Mn |
| Mar 31, 2024 | 427.43 Mn |
| Dec 31, 2023 | 418.39 Mn |
| Sep 30, 2023 | 365.71 Mn |
| Jun 30, 2023 | 395.03 Mn |
| Mar 31, 2023 | 328.50 Mn |
| Dec 31, 2022 | 329.74 Mn |
| Sep 30, 2022 | 322.89 Mn |
| Jun 30, 2022 | 331.40 Mn |
| Mar 31, 2022 | 294.57 Mn |
| Dec 31, 2021 | 306.50 Mn |
| Sep 30, 2021 | 269.23 Mn |
API Access
BeOne Medicines Selling, General & Administrative 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=selling-general-and-administrative&ticker=ONC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ONC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();