Curis (CRIS) Accumulated Expenses (2010 - 2026)
Curis' Accumulated Expenses came in at $7.24 million for Q2 2026, up 8.8% from $6.66 million a year earlier and up 3.4% from the prior quarter.
Analysis
Curis (CRIS) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Curis' Accumulated Expenses was $7.27 million, up 2.3% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $7.11 million in FY2024 (-21.3%), $9.04 million in FY2023 (+59.2%), $5.68 million in FY2022 (-10.4%) and $6.34 million in FY2021 (+74.9%).
- The five-year range for quarterly Accumulated Expenses is $4.25 million (Q1 2023) to $9.04 million (Q4 2023).
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 0.2% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2022 (growth of 122.4%), and the weakest in Q4 2024 (a decline of 21.3%).
- Business Quant data shows CRIS's Accumulated Expenses at $7 million (Q1 2026), $7.27 million (Q4 2025) and $7.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Curis | 1.64 Mn | -32.55 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.24 Mn |
| Mar 31, 2026 | 7.00 Mn |
| Dec 31, 2025 | 7.27 Mn |
| Sep 30, 2025 | 7.29 Mn |
| Jun 30, 2025 | 6.66 Mn |
| Mar 31, 2025 | 6.48 Mn |
| Dec 31, 2024 | 7.11 Mn |
| Sep 30, 2024 | 8.14 Mn |
| Jun 30, 2024 | 6.74 Mn |
| Mar 31, 2024 | 6.33 Mn |
| Dec 31, 2023 | 9.04 Mn |
| Sep 30, 2023 | 7.23 Mn |
| Jun 30, 2023 | 5.78 Mn |
| Mar 31, 2023 | 4.25 Mn |
| Dec 31, 2022 | 5.68 Mn |
| Sep 30, 2022 | 6.88 Mn |
| Jun 30, 2022 | 5.58 Mn |
| Mar 31, 2022 | 4.59 Mn |
| Dec 31, 2021 | 6.34 Mn |
| Sep 30, 2021 | 5.31 Mn |
API Access
Curis Accumulated 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=accumulated-expenses&ticker=CRIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CRIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();