Arbutus Biopharma (ABUS) Shares Outstanding (Diluted) (2010 - 2026)
Arbutus Biopharma (ABUS) recorded Shares Outstanding (Diluted) of 197.47 million in Q2 2026, up 2.6% from 192.4 million a year earlier and up 1.2% from the prior quarter.
Arbutus Biopharma (ABUS) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Arbutus Biopharma reported Shares Outstanding (Diluted) of 191.6 million, up 3.2% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for 15 straight years, with a five-year compound annual growth rate of 20.4% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 185.61 million in FY2024 (+11.8%), 165.96 million in FY2023 (+10.0%), 150.94 million in FY2022 (+42.1%) and 106.24 million in FY2021 (+40.1%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2010.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 51 consecutive quarters, with growth averaging 5.7% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 1.5% (Q3 2025) and 58.9% (Q1 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at 195.21 million (Q1 2026), 191.6 million (Q4 2025) and 191.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Arbutus Biopharma | 755.33 Mn | 382.30 Mn | - | 197.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 197.47 Mn |
| Mar 31, 2026 | 195.21 Mn |
| Dec 31, 2025 | 191.60 Mn |
| Sep 30, 2025 | 191.78 Mn |
| Jun 30, 2025 | 192.40 Mn |
| Mar 31, 2025 | 190.71 Mn |
| Dec 31, 2024 | 185.61 Mn |
| Sep 30, 2024 | 189.00 Mn |
| Jun 30, 2024 | 188.04 Mn |
| Mar 31, 2024 | 175.63 Mn |
| Dec 31, 2023 | 165.96 Mn |
| Sep 30, 2023 | 167.51 Mn |
| Jun 30, 2023 | 166.06 Mn |
| Mar 31, 2023 | 161.64 Mn |
| Dec 31, 2022 | 150.94 Mn |
| Sep 30, 2022 | 151.00 Mn |
| Jun 30, 2022 | 148.75 Mn |
| Mar 31, 2022 | 148.43 Mn |
| Dec 31, 2021 | 106.24 Mn |
| Sep 30, 2021 | 101.29 Mn |
Arbutus Biopharma Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ABUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ABUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();