Arbutus Biopharma (ABUS) Total Liabilities (2010 - 2026)
Arbutus Biopharma (ABUS) recorded Total Liabilities of $15.29 million in Q2 2026, down 24.6% from $20.29 million a year earlier and down 10.0% from the prior quarter.
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Analysis
Arbutus Biopharma (ABUS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Arbutus Biopharma reported Total Liabilities of $18.04 million, down 47.5% from FY2024.
- Annual Total Liabilities has declined for three straight years, with a five-year compound annual growth rate of -12.5% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $34.34 million in FY2024 (-10.5%), $38.38 million in FY2023 (-34.5%), $58.57 million in FY2022 (+67.1%) and $35.05 million in FY2021 (-0.2%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q4 2013.
- On a year-over-year basis, Total Liabilities has declined for five consecutive quarters, with an average decline of 29.0% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 121.3% in Q1 2022, against a decline of 55.1% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.99 million (Q1 2026), $18.04 million (Q4 2025) and $20.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Arbutus Biopharma | 755.33 Mn | 382.30 Mn | - | 15.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.29 Mn |
| Mar 31, 2026 | 16.99 Mn |
| Dec 31, 2025 | 18.04 Mn |
| Sep 30, 2025 | 20.31 Mn |
| Jun 30, 2025 | 20.29 Mn |
| Mar 31, 2025 | 37.85 Mn |
| Dec 31, 2024 | 34.34 Mn |
| Sep 30, 2024 | 33.55 Mn |
| Jun 30, 2024 | 37.59 Mn |
| Mar 31, 2024 | 35.65 Mn |
| Dec 31, 2023 | 38.38 Mn |
| Sep 30, 2023 | 39.30 Mn |
| Jun 30, 2023 | 42.13 Mn |
| Mar 31, 2023 | 47.31 Mn |
| Dec 31, 2022 | 58.57 Mn |
| Sep 30, 2022 | 58.28 Mn |
| Jun 30, 2022 | 62.69 Mn |
| Mar 31, 2022 | 71.03 Mn |
| Dec 31, 2021 | 35.05 Mn |
| Sep 30, 2021 | 35.46 Mn |
API Access
Arbutus Biopharma Total Liabilities 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=total-liabilities&ticker=ABUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ABUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();