Arcturus Therapeutics Holdings (ARCT) Operating Expenses (2018 - 2026)
Arcturus Therapeutics Holdings (ARCT) posted Operating Expenses of $28.5 million for Q2 2026, down 28.6% from $39.92 million a year earlier and down 8.0% from the prior quarter.
Arcturus Therapeutics Holdings (ARCT) Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Arcturus Therapeutics Holdings was $131.66 million, down 32.4% year-over-year; for FY2025, it came in at $158.29 million, down 36.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- In prior years, Arcturus Therapeutics Holdings' Operating Expenses was $247.98 million in FY2024 (+1.2%), $245 million in FY2023 (+26.4%), $193.82 million in FY2022 (-9.9%) and $215.21 million in FY2021 (+165.5%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q3 2020.
- On a year-over-year basis, Operating Expenses has declined in each of the last six quarters, with an average decline of 26.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 141.8%; the weakest was Q2 2025, with a decline of 43.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $30.99 million (Q1 2026), $38.5 million (Q4 2025) and $33.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 15.99 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.53 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Arcturus Therapeutics Holdings | 267.25 Mn | -551.34 Mn | - | 27.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.48 Mn |
| Jun 30, 2026 | 28.50 Mn |
| Mar 31, 2026 | 30.99 Mn |
| Dec 31, 2025 | 38.50 Mn |
| Sep 30, 2025 | 33.66 Mn |
| Jun 30, 2025 | 39.92 Mn |
| Mar 31, 2025 | 46.21 Mn |
| Dec 31, 2024 | 56.16 Mn |
| Sep 30, 2024 | 52.41 Mn |
| Jun 30, 2024 | 70.99 Mn |
| Mar 31, 2024 | 68.42 Mn |
| Dec 31, 2023 | 49.13 Mn |
| Sep 30, 2023 | 64.45 Mn |
| Jun 30, 2023 | 65.89 Mn |
| Mar 31, 2023 | 65.53 Mn |
| Dec 31, 2022 | 38.84 Mn |
| Sep 30, 2022 | 50.18 Mn |
| Jun 30, 2022 | 49.18 Mn |
| Mar 31, 2022 | 55.62 Mn |
| Dec 31, 2021 | 43.44 Mn |
Arcturus Therapeutics Holdings 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=ARCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ARCT", "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=ARCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();