Aclaris Therapeutics (ACRS) Return on Capital Employed [ROCE] (2015 - 2026)
Aclaris Therapeutics (ACRS) reported Return on Capital Employed [ROCE] of -53.62% for Q2 2026, up 34.30 percentage points from -87.92% a year earlier but down 0.75 percentage points from the prior quarter.
Aclaris Therapeutics (ACRS) Return on Capital Employed [ROCE] (2015 - 2026) Analysis & Trends
For FY2025, Aclaris Therapeutics posted Return on Capital Employed [ROCE] of -47.22%, up 32.85 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +25.86 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -80.07% in FY2024 (-30.15 pp), -49.91% in FY2023 (-11.01 pp), -38.90% in FY2022 (+26.08 pp) and -64.99% in FY2021 (+8.09 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -97.83% in Q3 2025 and a high of -30.28% in Q3 2024.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last three quarters, with an average year-over-year change of -5.79 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2021 (a gain of 52.45 percentage points); the low point was Q3 2025 (a drop of 67.55 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -52.87% (Q1 2026), -54.81% (Q4 2025) and -97.83% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Aclaris Therapeutics | 613.83 Mn | 613.83 Mn | 1.41 Mn | -53.62% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -53.62% |
| Mar 31, 2026 | -52.87% |
| Dec 31, 2025 | -54.81% |
| Sep 30, 2025 | -97.83% |
| Jun 30, 2025 | -87.92% |
| Mar 31, 2025 | -75.17% |
| Dec 31, 2024 | -83.60% |
| Sep 30, 2024 | -30.28% |
| Jun 30, 2024 | -44.38% |
| Mar 31, 2024 | -52.14% |
| Dec 31, 2023 | -55.03% |
| Sep 30, 2023 | -61.29% |
| Jun 30, 2023 | -53.22% |
| Mar 31, 2023 | -45.05% |
| Dec 31, 2022 | -37.57% |
| Sep 30, 2022 | -33.07% |
| Jun 30, 2022 | -35.20% |
| Mar 31, 2022 | -36.06% |
| Dec 31, 2021 | -38.27% |
| Sep 30, 2021 | -31.17% |
Aclaris Therapeutics Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=ACRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=ACRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();