Aclaris Therapeutics (ACRS) Total Non-Current Liabilities (2014 - 2026)
Aclaris Therapeutics (ACRS) recorded Total Non-Current Liabilities of $43.81 million in Q2 2026, down 6.6% from $46.91 million a year earlier and down 0.6% from the prior quarter.
Aclaris Therapeutics (ACRS) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Aclaris Therapeutics reported Total Non-Current Liabilities of $46.38 million, down 17.3% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $56.07 million in FY2024 (+64.8%), $34.03 million in FY2023 (+42.5%), $23.88 million in FY2022 (-6.3%) and $25.47 million in FY2021 (-12.4%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q3 2024.
- On a year-over-year basis, Total Non-Current Liabilities has declined for three consecutive quarters, with growth averaging 42.9% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 159.9% in Q2 2025, against a decline of 36.3% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $44.07 million (Q1 2026), $46.38 million (Q4 2025) and $44.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Aclaris Therapeutics | 540.26 Mn | 156.62 Mn | 1.41 Mn | 42.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.55 Mn |
| Mar 31, 2026 | 42.66 Mn |
| Dec 31, 2025 | 44.81 Mn |
| Sep 30, 2025 | 43.12 Mn |
| Jun 30, 2025 | 45.06 Mn |
| Mar 31, 2025 | 40.72 Mn |
| Dec 31, 2024 | 51.63 Mn |
| Sep 30, 2024 | 40.00 Mn |
| Jun 30, 2024 | 15.68 Mn |
| Mar 31, 2024 | 20.08 Mn |
| Dec 31, 2023 | 30.95 Mn |
| Sep 30, 2023 | 27.69 Mn |
| Jun 30, 2023 | 23.20 Mn |
| Mar 31, 2023 | 18.63 Mn |
| Dec 31, 2022 | 22.31 Mn |
| Sep 30, 2022 | 20.16 Mn |
| Jun 30, 2022 | 16.58 Mn |
| Mar 31, 2022 | 17.09 Mn |
| Dec 31, 2021 | 23.30 Mn |
| Sep 30, 2021 | 18.21 Mn |
Aclaris Therapeutics Total Non-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-non-current-liabilities&ticker=ACRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=ACRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();