Ascendis Pharma A (ASND) Operating Expenses (2014 - 2026)
Ascendis Pharma A's Operating Expenses came in at -$289.69 million for the quarter ended Jun 30, 2026, compared with -$203.24 million a year earlier.
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Analysis
Ascendis Pharma A (ASND) Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ascendis Pharma A reported Operating Expenses of -$988.72 million; for the year ended Dec 31, 2025, it was $860.34 million.
- Going back by year, Operating Expenses was -$31.39 million in the year ended Dec 31, 2024, -$60.97 million in the year ended Dec 31, 2023, -$100.62 million in the year ended Dec 31, 2022 and -$132.55 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Operating Expenses in data going back to the quarter ended Mar 31, 2014.
- The fastest year-over-year change in Operating Expenses over five years came in the quarter ended Mar 31, 2023 (growth of 548.6%), and the weakest in the quarter ended Mar 31, 2022 (a decline of 81.1%).
- Business Quant data shows ASND's Operating Expenses at -$239.15 million (quarter ended Mar 31, 2026), -$249.11 million (quarter ended Dec 31, 2025) and -$210.76 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Ascendis Pharma A | 14.26 Bn | 10.50 Bn | 362.22 Mn | -289.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -289.69 Mn |
| Mar 31, 2026 | -239.15 Mn |
| Dec 31, 2025 | -249.11 Mn |
| Sep 30, 2025 | -210.76 Mn |
| Jun 30, 2025 | -203.24 Mn |
| Mar 31, 2025 | -215.68 Mn |
| Dec 31, 2024 | -30.99 Mn |
| Sep 30, 2024 | -157.46 Mn |
| Jun 30, 2024 | 169.92 Mn |
| Mar 31, 2024 | 149.34 Mn |
| Dec 31, 2023 | -60.64 Mn |
| Sep 30, 2023 | 190.56 Mn |
| Jun 30, 2023 | 190.89 Mn |
| Mar 31, 2023 | 185.32 Mn |
| Dec 31, 2022 | -97.40 Mn |
| Sep 30, 2022 | 159.41 Mn |
| Jun 30, 2022 | 156.66 Mn |
| Mar 31, 2022 | 28.57 Mn |
| Dec 31, 2021 | -132.55 Mn |
| Sep 30, 2021 | 115.62 Mn |
API Access
Ascendis Pharma 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=ASND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ASND", "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=ASND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();