uniQure (QURE) Operating Expenses (2016 - 2026)
uniQure (QURE) posted Operating Expenses of $51.68 million for Q2 2026, up 4.3% from $49.54 million a year earlier and up 4.5% from the prior quarter.
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Analysis
uniQure (QURE) Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at uniQure was $212.18 million, up 11.2% year-over-year; for FY2025, it came in at $207.82 million, down 3.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- In prior years, uniQure's Operating Expenses was $214.77 million in FY2024 (-29.1%), $303.08 million in FY2023 (+18.4%), $255.99 million in FY2022 (+13.9%) and $224.81 million in FY2021 (+36.3%).
- Quarterly Operating Expenses has run from a low of $43.19 million in Q3 2024 to a high of $84.48 million in Q3 2023 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last four quarters, with an average decline of 8.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2023, with growth of 44.8%; the weakest was Q3 2024, with a decline of 48.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $49.46 million (Q1 2026), $56.83 million (Q4 2025) and $54.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,133.99 Bn | 1,102.58 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 615.70 Bn | 534.23 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 501.05 Bn | 474.16 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 367.41 Bn | 321.79 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.20 Bn | 234.88 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 235.55 Bn | 190.95 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.64 Bn | 164.84 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 169.29 Bn | 115.93 Bn | 10.94 Bn | 6.68 Bn |
| 10 | uniQure | 1.49 Bn | -1.22 Bn | 5.49 Mn | 51.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.68 Mn |
| Mar 31, 2026 | 49.46 Mn |
| Dec 31, 2025 | 56.83 Mn |
| Sep 30, 2025 | 54.20 Mn |
| Jun 30, 2025 | 49.54 Mn |
| Mar 31, 2025 | 47.25 Mn |
| Dec 31, 2024 | 50.84 Mn |
| Sep 30, 2024 | 43.19 Mn |
| Jun 30, 2024 | 56.88 Mn |
| Mar 31, 2024 | 63.86 Mn |
| Dec 31, 2023 | 68.94 Mn |
| Sep 30, 2023 | 84.48 Mn |
| Jun 30, 2023 | 68.57 Mn |
| Mar 31, 2023 | 81.09 Mn |
| Dec 31, 2022 | 78.24 Mn |
| Sep 30, 2022 | 62.25 Mn |
| Jun 30, 2022 | 59.52 Mn |
| Mar 31, 2022 | 55.99 Mn |
| Dec 31, 2021 | 58.10 Mn |
| Sep 30, 2021 | 48.46 Mn |
API Access
uniQure 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=QURE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "QURE", "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=QURE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();