Arbutus Biopharma (ABUS) Return on Capital Employed [ROCE] (2014 - 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.
Arbutus Biopharma (ABUS) Return on Capital Employed [ROCE] (2014 - 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 17.83% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 17.92% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.28% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 19.32% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 9.54% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 16.66% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -5.97% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 11.86% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 20.76% |
| 10 | Arbutus Biopharma | 944.69 Mn | 571.67 Mn | - | 54.73% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | -49.17% |
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_KEY
import 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();