Arbutus Biopharma (ABUS) Return on Sales [ROS] (2009 - 2026)
Arbutus Biopharma (ABUS) recorded Return on Sales [ROS] of -588.17% in Q2 2026, down 602.02 percentage points from 13.86% a year earlier and down 682.46 percentage points from the prior quarter.
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Analysis
Arbutus Biopharma (ABUS) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Arbutus Biopharma's Return on Sales [ROS] came in at 81.99% as of Jun 30, 2026, up 468.50 percentage points year-over-year; for FY2025, it came in at -270.96%, up 965.77 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +565.11 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -1236.74% in FY2024 (-806.20 pp), -430.53% in FY2023 (-262.78 pp), -167.75% in FY2022 (+501.36 pp) and -669.11% in FY2021 (+166.96 pp).
- Quarterly Return on Sales [ROS] has ranged from -1636.86% in Q3 2025 to 94.30% in Q1 2026 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of +163.79 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 1551.16 percentage points in Q1 2026, against a drop of 1138.38 percentage points in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 94.30% (Q1 2026), -503.33% (Q4 2025) and -1636.86% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Arbutus Biopharma | 758.95 Mn | 142.14 Mn | - | -3,509.70% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -3,509.70% |
| Jun 30, 2026 | -588.17% |
| Mar 31, 2026 | 94.30% |
| Dec 31, 2025 | -503.33% |
| Sep 30, 2025 | -1,636.86% |
| Jun 30, 2025 | 13.86% |
| Mar 31, 2025 | -1,456.86% |
| Dec 31, 2024 | -885.20% |
| Sep 30, 2024 | -1,601.19% |
| Jun 30, 2024 | -1,250.46% |
| Mar 31, 2024 | -1,263.90% |
| Dec 31, 2023 | -967.23% |
| Sep 30, 2023 | -462.82% |
| Jun 30, 2023 | -395.29% |
| Mar 31, 2023 | -260.40% |
| Dec 31, 2022 | -361.28% |
| Sep 30, 2022 | -299.24% |
| Jun 30, 2022 | -99.07% |
| Mar 31, 2022 | -87.23% |
| Dec 31, 2021 | -648.66% |
API Access
Arbutus Biopharma Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=ABUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=ABUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();