Arcturus Therapeutics Holdings (ARCT) Total Liabilities (2018 - 2026)
Arcturus Therapeutics Holdings' Total Liabilities was $52.5 million in Q2 2026, down 32.9% from $78.22 million a year earlier and down 2.9% from the prior quarter.
Arcturus Therapeutics Holdings (ARCT) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Arcturus Therapeutics Holdings came in at $57.16 million, down 44.6% from FY2024.
- Total Liabilities has now declined for three consecutive years, with a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $103.09 million in FY2024 (-31.7%), $150.89 million in FY2023 (-16.2%), $180.08 million in FY2022 (+9.4%) and $164.6 million in FY2021 (+106.0%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q3 2019.
- Compared with a year earlier, Total Liabilities has declined for nine straight quarters, with an average decline of 39.5% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2021 (growth of 188.1%); the worst was Q3 2025 (a decline of 46.9%).
- Per Business Quant data, ARCT's Total Liabilities in the three quarters before Q2 2026 was $54.05 million (Q1 2026), $57.16 million (Q4 2025) and $57.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Arcturus Therapeutics Holdings | 411.00 Mn | -403.13 Mn | - | 52.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.50 Mn |
| Mar 31, 2026 | 54.05 Mn |
| Dec 31, 2025 | 57.16 Mn |
| Sep 30, 2025 | 57.78 Mn |
| Jun 30, 2025 | 78.22 Mn |
| Mar 31, 2025 | 98.03 Mn |
| Dec 31, 2024 | 103.09 Mn |
| Sep 30, 2024 | 108.79 Mn |
| Jun 30, 2024 | 130.03 Mn |
| Mar 31, 2024 | 154.88 Mn |
| Dec 31, 2023 | 150.89 Mn |
| Sep 30, 2023 | 177.59 Mn |
| Jun 30, 2023 | 145.47 Mn |
| Mar 31, 2023 | 141.62 Mn |
| Dec 31, 2022 | 180.08 Mn |
| Sep 30, 2022 | 147.96 Mn |
| Jun 30, 2022 | 166.30 Mn |
| Mar 31, 2022 | 157.24 Mn |
| Dec 31, 2021 | 164.60 Mn |
| Sep 30, 2021 | 175.41 Mn |
Arcturus Therapeutics Holdings Total Liabilities 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=total-liabilities&ticker=ARCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ARCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();