Arbutus Biopharma (ABUS) Research & Development (2013 - 2026)
Arbutus Biopharma (ABUS) recorded Research & Development of $2.9 million in Q2 2026, down 47.3% from $5.5 million a year earlier and down 29.7% from the prior quarter.
Arbutus Biopharma (ABUS) Research & Development (2013 - 2026) Analysis & Trends
On a TTM basis, Arbutus Biopharma's Research & Development came in at $17.8 million as of Jun 30, 2026, down 52.6% year-over-year; for FY2025, it came in at $25.24 million, down 53.3% from FY2024.
- Annual Research & Development has declined for three straight years, with a five-year compound annual growth rate of -12.5% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $54.04 million in FY2024 (-26.7%), $73.7 million in FY2023 (-12.7%), $84.41 million in FY2022 (+28.9%) and $65.5 million in FY2021 (+32.8%).
- The Q2 2026 figure is the lowest quarterly Research & Development in data going back to Q1 2013.
- On a year-over-year basis, Research & Development has declined for 11 consecutive quarters, with an average decline of 48.7% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 45.2% in Q2 2022, against a decline of 64.6% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.12 million (Q1 2026), $5.01 million (Q4 2025) and $5.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 4.25 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 2.57 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 4.54 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 2.11 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 1.61 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 3.02 Bn |
| 10 | Arbutus Biopharma | 755.33 Mn | 382.30 Mn | - | 2.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.90 Mn |
| Mar 31, 2026 | 4.12 Mn |
| Dec 31, 2025 | 5.01 Mn |
| Sep 30, 2025 | 5.78 Mn |
| Jun 30, 2025 | 5.50 Mn |
| Mar 31, 2025 | 8.96 Mn |
| Dec 31, 2024 | 8.81 Mn |
| Sep 30, 2024 | 14.27 Mn |
| Jun 30, 2024 | 15.55 Mn |
| Mar 31, 2024 | 15.40 Mn |
| Dec 31, 2023 | 17.56 Mn |
| Sep 30, 2023 | 20.17 Mn |
| Jun 30, 2023 | 17.69 Mn |
| Mar 31, 2023 | 18.28 Mn |
| Dec 31, 2022 | 22.95 Mn |
| Sep 30, 2022 | 20.06 Mn |
| Jun 30, 2022 | 22.94 Mn |
| Mar 31, 2022 | 18.46 Mn |
| Dec 31, 2021 | 19.21 Mn |
| Sep 30, 2021 | 16.71 Mn |
Arbutus Biopharma Research & Development 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=research-and-development&ticker=ABUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ABUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();