Genmab A (GMAB) Operating Expenses (2023 - 2026)
Genmab A's Operating Expenses was -$780 million in the quarter ended Jun 30, 2026.
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Analysis
Genmab A (GMAB) Operating Expenses (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Genmab A's Operating Expenses was -$4.24 billion through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -$2.66 billion.
- In earlier years, Operating Expenses was -$2.15 billion in the year ended Dec 31, 2024, -$1.62 billion in the year ended Dec 31, 2023, -$1.17 billion in the year ended Dec 31, 2022 and -$617.41 million in the year ended Dec 31, 2021.
- Quarterly Operating Expenses has moved between -$2.15 billion (the quarter ended Dec 31, 2024) and -$133.9 million (the quarter ended Dec 31, 2021) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,133.08 Bn | 1,101.67 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 616.40 Bn | 534.93 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 501.19 Bn | 474.31 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 367.18 Bn | 321.56 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.99 Bn | 261.98 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.67 Bn | 235.36 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 235.57 Bn | 190.97 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.62 Bn | 164.82 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 169.63 Bn | 116.28 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Genmab A | 2.55 Bn | -2.82 Bn | 1.07 Bn | 780.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 780.00 Mn |
| Mar 31, 2026 | -716.00 Mn |
| Sep 30, 2025 | -563.00 Mn |
| Jun 30, 2025 | 565.00 Mn |
| Mar 31, 2025 | -527.00 Mn |
| Dec 31, 2024 | -43.00 Mn |
| Sep 30, 2024 | -506.00 Mn |
| Jun 30, 2024 | 543.00 Mn |
| Mar 31, 2024 | -487.00 Mn |
| Dec 31, 2023 | 9.76 Bn |
| Sep 30, 2023 | -3.03 Bn |
API Access
Genmab A 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=GMAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GMAB", "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=GMAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();