Curis (CRIS) Operating Expenses (2010 - 2026)
Curis (CRIS) reported Operating Expenses of $9.94 million for Q2 2026, down 9.6% from $11 million a year earlier and down 13.7% from the prior quarter.
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Analysis
Curis (CRIS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Curis' Operating Expenses came in at $40.27 million, down 18.4% year-over-year; for FY2025, it came in at $42.35 million, down 23.6% from FY2024.
- Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $55.45 million in FY2024 (-5.0%), $58.36 million in FY2023 (-7.6%), $63.18 million in FY2022 (+19.9%) and $52.71 million in FY2021 (+47.5%).
- Five-year quarterly Operating Expenses spans a low of $8.71 million in Q4 2025 and a high of $17.45 million in Q2 2022.
- Year over year, Operating Expenses has now declined in each of the last eight quarters, with an average decline of 17.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 75.6%); the low point was Q4 2025 (a decline of 29.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $11.52 million (Q1 2026), $8.71 million (Q4 2025) and $10.1 million (Q3 2025).
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 | Curis | 1.62 Mn | -32.57 Mn | - | 9.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.94 Mn |
| Mar 31, 2026 | 11.52 Mn |
| Dec 31, 2025 | 8.71 Mn |
| Sep 30, 2025 | 10.10 Mn |
| Jun 30, 2025 | 11.00 Mn |
| Mar 31, 2025 | 12.54 Mn |
| Dec 31, 2024 | 12.34 Mn |
| Sep 30, 2024 | 13.50 Mn |
| Jun 30, 2024 | 15.06 Mn |
| Mar 31, 2024 | 14.56 Mn |
| Dec 31, 2023 | 14.90 Mn |
| Sep 30, 2023 | 15.20 Mn |
| Jun 30, 2023 | 14.34 Mn |
| Mar 31, 2023 | 13.92 Mn |
| Dec 31, 2022 | 13.11 Mn |
| Sep 30, 2022 | 15.43 Mn |
| Jun 30, 2022 | 17.45 Mn |
| Mar 31, 2022 | 17.19 Mn |
| Dec 31, 2021 | 15.70 Mn |
| Sep 30, 2021 | 13.09 Mn |
API Access
Curis 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=CRIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CRIS", "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=CRIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();