Arbutus Biopharma (ABUS) Return on Capital Employed [ROCE] (2010 - 2026)
Arbutus Biopharma (ABUS) reported Return on Capital Employed [ROCE] of 54.73% for Q2 2026, up 111.41 percentage points from -56.68% a year earlier but down 31.81 percentage points from the prior quarter.
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Analysis
Arbutus Biopharma (ABUS) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Arbutus Biopharma posted Return on Capital Employed [ROCE] of -35.61%, up 26.72 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +16.11 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -62.33% in FY2024 (-9.35 pp), -52.98% in FY2023 (-13.81 pp), -39.17% in FY2022 (+6.90 pp) and -46.08% in FY2021 (+5.64 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -78.77% in Q1 2025 and a high of 86.54% in Q1 2026.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last five quarters, with an average year-over-year change of +36.39 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q1 2026 (a gain of 165.31 percentage points); the low point was Q4 2023 (a drop of 21.28 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 86.54% (Q1 2026), -42.33% (Q4 2025) and -49.11% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 35.41% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.65% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 11.32% |
| 10 | Arbutus Biopharma | 758.95 Mn | 142.14 Mn | - | 226.65% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 226.65% |
| Jun 30, 2026 | 54.73% |
| Mar 31, 2026 | 86.54% |
| Dec 31, 2025 | -42.33% |
| Sep 30, 2025 | -49.11% |
| Jun 30, 2025 | -56.68% |
| Mar 31, 2025 | -78.77% |
| Dec 31, 2024 | -63.36% |
| Sep 30, 2024 | -63.31% |
| Jun 30, 2024 | -62.80% |
| Mar 31, 2024 | -63.01% |
| Dec 31, 2023 | -60.53% |
| Sep 30, 2023 | -54.96% |
| Jun 30, 2023 | -47.76% |
| Mar 31, 2023 | -42.75% |
| Dec 31, 2022 | -39.25% |
| Sep 30, 2022 | -34.93% |
| Jun 30, 2022 | -32.71% |
| Mar 31, 2022 | -36.55% |
| Dec 31, 2021 | -42.30% |
API Access
Arbutus Biopharma 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=ABUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "ABUS", "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=ABUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();