Arbutus Biopharma (ABUS) Non Operating Interest Expenses (2017 - 2026)
Arbutus Biopharma's Non Operating Interest Expenses was $18,000 in Q2 2026, down 35.7% from $28,000 a year earlier but up 5.9% from the prior quarter.
Arbutus Biopharma (ABUS) Non Operating Interest Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arbutus Biopharma's Non Operating Interest Expenses was $76,000 through Jun 30, 2026, down 33.9% year-over-year; for FY2025, it was $97,000, down 29.2% from FY2024.
- Non Operating Interest Expenses has now declined for five consecutive years, with a five-year compound annual growth rate of -52.5% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $137,000 in FY2024 (-70.2%), $459,000 in FY2023 (-73.4%), $1.73 million in FY2022 (-39.6%) and $2.86 million in FY2021 (-28.8%).
- Quarterly Non Operating Interest Expenses has moved between $17,000 (Q1 2026) and $762,000 (Q3 2021) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has declined for 24 straight quarters, with an average decline of 32.3% over the last eight quarters.
- Over the past five years, the year-over-year decline in Non Operating Interest Expenses ranged from 17.6% (Q2 2025) to 89.3% (Q3 2023).
- Per Business Quant data, ABUS's Non Operating Interest Expenses in the three quarters before Q2 2026 was $17,000 (Q1 2026), $18,000 (Q4 2025) and $23,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Arbutus Biopharma | 944.69 Mn | 571.67 Mn | - | 18,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18,000.00 |
| Mar 31, 2026 | 17,000.00 |
| Dec 31, 2025 | 18,000.00 |
| Sep 30, 2025 | 23,000.00 |
| Jun 30, 2025 | 28,000.00 |
| Mar 31, 2025 | 28,000.00 |
| Dec 31, 2024 | 30,000.00 |
| Sep 30, 2024 | 29,000.00 |
| Jun 30, 2024 | 34,000.00 |
| Mar 31, 2024 | 44,000.00 |
| Dec 31, 2023 | 44,000.00 |
| Sep 30, 2023 | 46,000.00 |
| Jun 30, 2023 | 171,000.00 |
| Mar 31, 2023 | 198,000.00 |
| Dec 31, 2022 | 309,000.00 |
| Sep 30, 2022 | 429,000.00 |
| Jun 30, 2022 | 482,000.00 |
| Mar 31, 2022 | 506,000.00 |
| Dec 31, 2021 | 560,000.00 |
| Sep 30, 2021 | 762,000.00 |
Arbutus Biopharma Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=ABUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=ABUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();