Arcutis Biotherapeutics (ARQT) Total Current Liabilities (2019 - 2026)
Arcutis Biotherapeutics' Total Current Liabilities was $160.34 million in Q2 2026, up 54.3% from $103.94 million a year earlier but down 1.8% from the prior quarter.
Arcutis Biotherapeutics (ARQT) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Arcutis Biotherapeutics came in at $129.84 million, up 60.3% from FY2024.
- Total Current Liabilities has now increased for six consecutive years, with a five-year compound annual growth rate of 41.9% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $81.01 million in FY2024 (+73.6%), $46.67 million in FY2023 (+23.4%), $37.81 million in FY2022 (+13.4%) and $33.33 million in FY2021 (+47.4%).
- Quarterly Total Current Liabilities has moved between $19.06 million (Q3 2021) and $172.43 million (Q3 2024) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for three straight quarters, with growth averaging 91.5% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q3 2024 (growth of 311.6%); the worst was Q3 2025 (a decline of 42.1%).
- Per Business Quant data, ARQT's Total Current Liabilities in the three quarters before Q2 2026 was $163.2 million (Q1 2026), $129.84 million (Q4 2025) and $99.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Arcutis Biotherapeutics | 3.43 Bn | 2.72 Bn | 118.92 Mn | 160.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.34 Mn |
| Mar 31, 2026 | 163.20 Mn |
| Dec 31, 2025 | 129.84 Mn |
| Sep 30, 2025 | 99.77 Mn |
| Jun 30, 2025 | 103.94 Mn |
| Mar 31, 2025 | 91.13 Mn |
| Dec 31, 2024 | 81.01 Mn |
| Sep 30, 2024 | 172.43 Mn |
| Jun 30, 2024 | 51.35 Mn |
| Mar 31, 2024 | 47.31 Mn |
| Dec 31, 2023 | 46.67 Mn |
| Sep 30, 2023 | 41.89 Mn |
| Jun 30, 2023 | 36.66 Mn |
| Mar 31, 2023 | 37.03 Mn |
| Dec 31, 2022 | 37.81 Mn |
| Sep 30, 2022 | 37.10 Mn |
| Jun 30, 2022 | 27.48 Mn |
| Mar 31, 2022 | 32.96 Mn |
| Dec 31, 2021 | 33.33 Mn |
| Sep 30, 2021 | 19.06 Mn |
Arcutis Biotherapeutics Total Current 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-current-liabilities&ticker=ARQT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=ARQT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();