Arcutis Biotherapeutics (ARQT) Operating Expenses (2019 - 2026)
Arcutis Biotherapeutics' Operating Expenses was $113.43 million in Q2 2026, up 18.0% from $96.12 million a year earlier but down 0.9% from the prior quarter.
Arcutis Biotherapeutics (ARQT) Operating Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arcutis Biotherapeutics' Operating Expenses was $429.73 million through Jun 30, 2026, up 23.0% year-over-year; for FY2025, it was $388.3 million, up 19.5% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 23.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $324.94 million in FY2024 (+8.1%), $300.71 million in FY2023 (-1.5%), $305.31 million in FY2022 (+47.8%) and $206.53 million in FY2021 (+51.1%).
- Quarterly Operating Expenses has moved between $57.08 million (Q3 2021) and $114.49 million (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for 11 straight quarters, with growth averaging 17.6% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 109.3%); the worst was Q3 2023 (a decline of 28.9%).
- Per Business Quant data, ARQT's Operating Expenses in the three quarters before Q2 2026 was $114.49 million (Q1 2026), $111.12 million (Q4 2025) and $90.69 million (Q3 2025).
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 | Arcutis Biotherapeutics | 3.43 Bn | 2.72 Bn | 118.92 Mn | 113.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.43 Mn |
| Mar 31, 2026 | 114.49 Mn |
| Dec 31, 2025 | 111.12 Mn |
| Sep 30, 2025 | 90.69 Mn |
| Jun 30, 2025 | 96.12 Mn |
| Mar 31, 2025 | 90.38 Mn |
| Dec 31, 2024 | 78.99 Mn |
| Sep 30, 2024 | 83.82 Mn |
| Jun 30, 2024 | 80.94 Mn |
| Mar 31, 2024 | 81.19 Mn |
| Dec 31, 2023 | 74.70 Mn |
| Sep 30, 2023 | 75.01 Mn |
| Jun 30, 2023 | 71.95 Mn |
| Mar 31, 2023 | 79.05 Mn |
| Dec 31, 2022 | 71.39 Mn |
| Sep 30, 2022 | 105.47 Mn |
| Jun 30, 2022 | 65.83 Mn |
| Mar 31, 2022 | 62.63 Mn |
| Dec 31, 2021 | 71.29 Mn |
| Sep 30, 2021 | 57.08 Mn |
Arcutis Biotherapeutics 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=ARQT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ARQT", "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=ARQT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();