Arbutus Biopharma (ABUS) Enterprise Value (2010 - 2026)
Arbutus Biopharma (ABUS) posted Enterprise Value of $856.02 million for Q2 2026, up 73.3% from $494.08 million a year earlier and up 8.2% from the prior quarter.
Arbutus Biopharma (ABUS) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Arbutus Biopharma was $575.62 million, up 339.5% year-over-year; for FY2025, it was $834.6 million, up 67.4% from FY2024.
- Annual Enterprise Value has increased for three consecutive years, with a five-year compound annual growth rate of 33.7% (FY2020 to FY2025).
- In prior years, Arbutus Biopharma's Enterprise Value was $498.56 million in FY2024 (+66.9%), $298.67 million in FY2023 (+35.8%), $219.96 million in FY2022 (-14.7%) and $257.97 million in FY2021 (+32.2%).
- The Q2 2026 figure stands as the highest quarterly Enterprise Value in data going back to Q4 2010.
- On a year-over-year basis, Enterprise Value has increased in each of the last nine quarters, with growth averaging 68.6% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q3 2024, with growth of 191.7%; the weakest was Q3 2022, with a decline of 55.4%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $791.04 million (Q1 2026), $834.6 million (Q4 2025) and $777.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Arbutus Biopharma | 960.50 Mn | 587.48 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 856.02 Mn |
| Mar 31, 2026 | 791.04 Mn |
| Dec 31, 2025 | 834.60 Mn |
| Sep 30, 2025 | 777.77 Mn |
| Jun 30, 2025 | 494.08 Mn |
| Mar 31, 2025 | 555.56 Mn |
| Dec 31, 2024 | 498.56 Mn |
| Sep 30, 2024 | 601.54 Mn |
| Jun 30, 2024 | 441.22 Mn |
| Mar 31, 2024 | 335.66 Mn |
| Dec 31, 2023 | 298.67 Mn |
| Sep 30, 2023 | 206.24 Mn |
| Jun 30, 2023 | 231.44 Mn |
| Mar 31, 2023 | 353.62 Mn |
| Dec 31, 2022 | 219.96 Mn |
| Sep 30, 2022 | 156.96 Mn |
| Jun 30, 2022 | 253.03 Mn |
| Mar 31, 2022 | 277.73 Mn |
| Dec 31, 2021 | 257.97 Mn |
| Sep 30, 2021 | 351.63 Mn |
Arbutus Biopharma Enterprise Value 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=enterprise-value&ticker=ABUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ABUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();