Arbutus Biopharma (ABUS) Return on Assets [ROA] (2010 - 2026)
Arbutus Biopharma (ABUS) reported Return on Assets [ROA] of 55.30% for Q2 2026, up 104.56 percentage points from -49.26% a year earlier but down 30.80 percentage points from the prior quarter.
Arbutus Biopharma (ABUS) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2025, Arbutus Biopharma posted Return on Assets [ROA] of -30.21%, up 20.43 percentage points from FY2024.
- Return on Assets [ROA] has a five-year change of +22.34 percentage points (FY2020 to FY2025).
- By year, Return on Assets [ROA] came in at -50.65% in FY2024 (-7.77 pp), -42.88% in FY2023 (-8.14 pp), -34.74% in FY2022 (+9.91 pp) and -44.65% in FY2021 (+7.90 pp).
- Five-year quarterly Return on Assets [ROA] spans a low of -61.55% in Q1 2025 and a high of 86.10% in Q1 2026.
- Year over year, Return on Assets [ROA] has now increased in each of the last five quarters, with an average year-over-year change of +32.13 percentage points over the last eight quarters.
- The high point for year-over-year Return on Assets [ROA] in five years was Q1 2026 (a gain of 147.64 percentage points); the low point was Q1 2024 (a drop of 14.25 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 86.10% (Q1 2026), -35.55% (Q4 2025) and -42.05% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 19.00% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 8.08% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 7.32% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 1.87% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.36% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 9.80% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -7.67% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 2.00% |
| 10 | Arbutus Biopharma | 758.95 Mn | 142.14 Mn | - | 49.75% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 49.75% |
| Jun 30, 2026 | 55.55% |
| Mar 31, 2026 | 86.50% |
| Dec 31, 2025 | -34.80% |
| Sep 30, 2025 | -42.11% |
| Jun 30, 2025 | -49.15% |
| Mar 31, 2025 | -61.41% |
| Dec 31, 2024 | -51.17% |
| Sep 30, 2024 | -50.52% |
| Jun 30, 2024 | -48.93% |
| Mar 31, 2024 | -49.63% |
| Dec 31, 2023 | -46.71% |
| Sep 30, 2023 | -43.73% |
| Jun 30, 2023 | -39.29% |
| Mar 31, 2023 | -36.34% |
| Dec 31, 2022 | -35.87% |
| Sep 30, 2022 | -34.15% |
| Jun 30, 2022 | -31.97% |
| Mar 31, 2022 | -34.85% |
| Dec 31, 2021 | -41.32% |
Arbutus Biopharma Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=ABUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=ABUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();