Aclaris Therapeutics (ACRS) Total Current Liabilities (2014 - 2026)
Aclaris Therapeutics (ACRS) recorded Total Current Liabilities of $28.24 million in Q2 2026, up 5.2% from $26.84 million a year earlier and up 3.2% from the prior quarter.
Aclaris Therapeutics (ACRS) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Aclaris Therapeutics reported Total Current Liabilities of $28.65 million, down 9.3% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $31.6 million in FY2024 (+2.1%), $30.95 million in FY2023 (+41.1%), $21.94 million in FY2022 (-4.3%) and $22.93 million in FY2021 (+54.2%).
- Quarterly Total Current Liabilities has ranged from $15.68 million in Q2 2024 to $31.6 million in Q4 2024 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in six of the last eight quarters, with growth averaging 13.6%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 71.1% in Q2 2025, against a decline of 31.3% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $27.37 million (Q1 2026), $28.65 million (Q4 2025) and $25.63 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 | Aclaris Therapeutics | 759.25 Mn | 759.25 Mn | 1.41 Mn | 28.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.24 Mn |
| Mar 31, 2026 | 27.37 Mn |
| Dec 31, 2025 | 28.65 Mn |
| Sep 30, 2025 | 25.63 Mn |
| Jun 30, 2025 | 26.84 Mn |
| Mar 31, 2025 | 21.51 Mn |
| Dec 31, 2024 | 31.60 Mn |
| Sep 30, 2024 | 18.82 Mn |
| Jun 30, 2024 | 15.68 Mn |
| Mar 31, 2024 | 20.08 Mn |
| Dec 31, 2023 | 30.95 Mn |
| Sep 30, 2023 | 27.32 Mn |
| Jun 30, 2023 | 22.83 Mn |
| Mar 31, 2023 | 18.26 Mn |
| Dec 31, 2022 | 21.94 Mn |
| Sep 30, 2022 | 19.79 Mn |
| Jun 30, 2022 | 16.22 Mn |
| Mar 31, 2022 | 16.73 Mn |
| Dec 31, 2021 | 22.93 Mn |
| Sep 30, 2021 | 17.84 Mn |
Aclaris Therapeutics 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=ACRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ACRS", "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=ACRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();