Arcutis Biotherapeutics (ARQT) Non-Current Assets (2019 - 2026)
Arcutis Biotherapeutics' Non-Current Assets was $20.87 million in Q2 2026, up 6.2% from $19.66 million a year earlier but down 4.9% from the prior quarter.
Arcutis Biotherapeutics (ARQT) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Arcutis Biotherapeutics came in at $21.74 million, up 66.4% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 31.9% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $13.07 million in FY2024 (+19.5%), $10.93 million in FY2023 (-7.9%), $11.87 million in FY2022 (+120.6%) and $5.38 million in FY2021 (-1.2%).
- Quarterly Non-Current Assets has moved between $5.04 million (Q2 2022) and $21.95 million (Q1 2026) over five years.
- Compared with a year earlier, Non-Current Assets has increased for eight straight quarters, with growth averaging 45.8% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q2 2023 (growth of 134.6%); the worst was Q2 2024 (a decline of 14.0%).
- Per Business Quant data, ARQT's Non-Current Assets in the three quarters before Q2 2026 was $21.95 million (Q1 2026), $21.74 million (Q4 2025) and $21.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Arcutis Biotherapeutics | 3.43 Bn | 2.72 Bn | 118.92 Mn | 20.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.87 Mn |
| Mar 31, 2026 | 21.95 Mn |
| Dec 31, 2025 | 21.74 Mn |
| Sep 30, 2025 | 21.75 Mn |
| Jun 30, 2025 | 19.66 Mn |
| Mar 31, 2025 | 20.43 Mn |
| Dec 31, 2024 | 13.07 Mn |
| Sep 30, 2024 | 13.63 Mn |
| Jun 30, 2024 | 10.17 Mn |
| Mar 31, 2024 | 10.48 Mn |
| Dec 31, 2023 | 10.93 Mn |
| Sep 30, 2023 | 11.41 Mn |
| Jun 30, 2023 | 11.82 Mn |
| Mar 31, 2023 | 11.78 Mn |
| Dec 31, 2022 | 11.87 Mn |
| Sep 30, 2022 | 12.20 Mn |
| Jun 30, 2022 | 5.04 Mn |
| Mar 31, 2022 | 5.19 Mn |
| Dec 31, 2021 | 5.38 Mn |
| Sep 30, 2021 | 5.24 Mn |
Arcutis Biotherapeutics Non-Current Assets 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=non-current-assets&ticker=ARQT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ARQT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();