Genmab A (GMAB) Interest Expenses (2023 - 2026)
Genmab A's Interest Expenses was -$139 million in the quarter ended Jun 30, 2026.
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Analysis
Genmab A (GMAB) Interest Expenses (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Genmab A's Interest Expenses was -$593 million through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at $269 million.
- In earlier years, Interest Expenses was -$183.94 million in the year ended Dec 31, 2024, -$153.27 million in the year ended Dec 31, 2023, -$234.32 million in the year ended Dec 31, 2022 and -$48.59 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Interest Expenses since the quarter ended Jun 30, 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Genmab A | 2.56 Bn | -2.81 Bn | 1.07 Bn | 139.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.00 Mn |
| Mar 31, 2026 | -150.00 Mn |
| Sep 30, 2025 | -37.00 Mn |
| Jun 30, 2025 | 91.00 Mn |
| Mar 31, 2025 | -45.00 Mn |
| Sep 30, 2024 | -101.00 Mn |
| Jun 30, 2024 | 46.00 Mn |
| Mar 31, 2024 | -35.00 Mn |
| Dec 31, 2023 | 1.14 Bn |
| Sep 30, 2023 | -224.00 Mn |
| Mar 31, 2023 | -435.00 Mn |
API Access
Genmab A Interest 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=interest-expenses&ticker=GMAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=GMAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();