Arbutus Biopharma (ABUS) Total Non-Current Liabilities (2011 - 2026)
Arbutus Biopharma (ABUS) recorded Total Non-Current Liabilities of $6.48 million in Q2 2026, down 31.9% from $9.51 million a year earlier and down 22.8% from the prior quarter.
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Analysis
Arbutus Biopharma (ABUS) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Arbutus Biopharma reported Total Non-Current Liabilities of $9.65 million, down 60.0% from FY2024.
- Annual Total Non-Current Liabilities has declined for three straight years, with a five-year compound annual growth rate of -9.1% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $24.12 million in FY2024 (-21.7%), $30.78 million in FY2023 (-36.1%), $48.2 million in FY2022 (+157.1%) and $18.75 million in FY2021 (+20.5%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2011.
- On a year-over-year basis, Total Non-Current Liabilities has declined for 14 consecutive quarters, with an average decline of 41.9% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 336.9% in Q1 2022, against a decline of 69.3% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.38 million (Q1 2026), $9.65 million (Q4 2025) and $9.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.96 Bn | 1,103.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 616.51 Bn | 535.04 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 501.10 Bn | 474.21 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 367.09 Bn | 321.47 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.10 Bn | 262.09 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.72 Bn | 235.40 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 235.73 Bn | 191.13 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 190.64 Bn | 164.84 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 169.63 Bn | 116.28 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Arbutus Biopharma | 841.23 Mn | 468.20 Mn | - | 3.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.36 Mn |
| Mar 31, 2026 | 5.11 Mn |
| Dec 31, 2025 | 6.21 Mn |
| Sep 30, 2025 | 5.53 Mn |
| Jun 30, 2025 | 5.60 Mn |
| Mar 31, 2025 | 22.92 Mn |
| Dec 31, 2024 | 19.29 Mn |
| Sep 30, 2024 | 19.90 Mn |
| Jun 30, 2024 | 23.74 Mn |
| Mar 31, 2024 | 21.48 Mn |
| Dec 31, 2023 | 23.83 Mn |
| Sep 30, 2023 | 23.82 Mn |
| Jun 30, 2023 | 26.18 Mn |
| Mar 31, 2023 | 30.12 Mn |
| Dec 31, 2022 | 40.67 Mn |
| Sep 30, 2022 | 40.05 Mn |
| Jun 30, 2022 | 42.75 Mn |
| Mar 31, 2022 | 51.97 Mn |
| Dec 31, 2021 | 13.45 Mn |
| Sep 30, 2021 | 12.47 Mn |
API Access
Arbutus Biopharma Total Non-Current 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-non-current-liabilities&ticker=ABUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ABUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();