Aclaris Therapeutics (ACRS) Total Non-Current Liabilities (2014 - 2026)
Aclaris Therapeutics (ACRS) recorded Total Non-Current Liabilities of $42.55 million in Q2 2026, down 5.6% from $45.06 million a year earlier and down 0.2% 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 $44.81 million, down 13.2% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $51.63 million in FY2024 (+66.8%), $30.95 million in FY2023 (+38.8%), $22.31 million in FY2022 (-4.3%) and $23.3 million in FY2021 (-10.0%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Non-Current Liabilities rose in six of the last eight quarters, with growth averaging 49.4%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 187.3% in Q2 2025, against a decline of 36.2% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $42.66 million (Q1 2026), $44.81 million (Q4 2025) and $43.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Aclaris Therapeutics | 638.89 Mn | 236.88 Mn | 1.29 Mn | 37.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 37.56 Mn |
| 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 |
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();