Capricor Therapeutics (CAPR) Operating Expenses (2010 - 2026)
Capricor Therapeutics' Operating Expenses came in at $42.95 million for Q2 2026, up 54.9% from $27.72 million a year earlier and up 16.8% from the prior quarter.
Capricor Therapeutics (CAPR) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Capricor Therapeutics reported Operating Expenses of $135.16 million, up 55.7% year-over-year; for FY2025, it came in at $108.14 million, up 66.8% from FY2024.
- Operating Expenses has increased in each of the last six years, with a five-year compound annual growth rate of 50.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $64.83 million in FY2024 (+31.6%), $49.26 million in FY2023 (+52.7%), $32.25 million in FY2022 (+52.2%) and $21.18 million in FY2021 (+51.3%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year-over-year, Operating Expenses has increased for 25 consecutive quarters, with growth averaging 53.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 9.8% (Q3 2021) to 87.0% (Q3 2022).
- Business Quant data shows CAPR's Operating Expenses at $36.77 million (Q1 2026), $29.16 million (Q4 2025) and $26.28 million (Q3 2025) in the three quarters before Q2 2026.
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 | Capricor Therapeutics | 506.13 Mn | 506.13 Mn | - | 42.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.95 Mn |
| Mar 31, 2026 | 36.77 Mn |
| Dec 31, 2025 | 29.16 Mn |
| Sep 30, 2025 | 26.28 Mn |
| Jun 30, 2025 | 27.72 Mn |
| Mar 31, 2025 | 24.98 Mn |
| Dec 31, 2024 | 18.83 Mn |
| Sep 30, 2024 | 15.27 Mn |
| Jun 30, 2024 | 15.56 Mn |
| Mar 31, 2024 | 15.17 Mn |
| Dec 31, 2023 | 13.37 Mn |
| Sep 30, 2023 | 13.05 Mn |
| Jun 30, 2023 | 11.66 Mn |
| Mar 31, 2023 | 11.17 Mn |
| Dec 31, 2022 | 9.03 Mn |
| Sep 30, 2022 | 8.07 Mn |
| Jun 30, 2022 | 7.32 Mn |
| Mar 31, 2022 | 7.83 Mn |
| Dec 31, 2021 | 6.38 Mn |
| Sep 30, 2021 | 4.31 Mn |
Capricor Therapeutics 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=CAPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CAPR", "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=CAPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();