Arcturus Therapeutics Holdings (ARCT) Accumulated Expenses (2018 - 2026)
Arcturus Therapeutics Holdings (ARCT) posted Accumulated Expenses of $22.85 million for Q2 2026, down 7.2% from $24.63 million a year earlier but up 0.8% from the prior quarter.
Arcturus Therapeutics Holdings (ARCT) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Arcturus Therapeutics Holdings' Accumulated Expenses came in at $23.9 million, down 38.4% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- In prior years, Arcturus Therapeutics Holdings' Accumulated Expenses was $38.78 million in FY2024 (+21.6%), $31.88 million in FY2023 (+5.5%), $30.23 million in FY2022 (+28.5%) and $23.52 million in FY2021 (+21.3%).
- Quarterly Accumulated Expenses has run from a low of $19.38 million in Q3 2025 to a high of $52.36 million in Q3 2021 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last six quarters, with an average decline of 14.9% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2021, with growth of 230.6%; the weakest was Q3 2022, with a decline of 51.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $22.67 million (Q1 2026), $23.9 million (Q4 2025) and $19.38 million (Q3 2025).
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 | Arcturus Therapeutics Holdings | 389.11 Mn | -425.02 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.85 Mn |
| Mar 31, 2026 | 22.67 Mn |
| Dec 31, 2025 | 23.90 Mn |
| Sep 30, 2025 | 19.38 Mn |
| Jun 30, 2025 | 24.63 Mn |
| Mar 31, 2025 | 30.56 Mn |
| Dec 31, 2024 | 38.78 Mn |
| Sep 30, 2024 | 32.40 Mn |
| Jun 30, 2024 | 35.45 Mn |
| Mar 31, 2024 | 34.77 Mn |
| Dec 31, 2023 | 31.88 Mn |
| Sep 30, 2023 | 28.55 Mn |
| Jun 30, 2023 | 28.76 Mn |
| Mar 31, 2023 | 32.29 Mn |
| Dec 31, 2022 | 30.23 Mn |
| Sep 30, 2022 | 25.53 Mn |
| Jun 30, 2022 | 33.61 Mn |
| Mar 31, 2022 | 19.97 Mn |
| Dec 31, 2021 | 23.52 Mn |
| Sep 30, 2021 | 52.36 Mn |
Arcturus Therapeutics Holdings 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=ARCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ARCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();