AbCellera Biologics (ABCL) Total Current Liabilities (2020 - 2026)
AbCellera Biologics (ABCL) posted Total Current Liabilities of $53.19 million for Q2 2026, down 20.6% from $67.02 million a year earlier but up 12.5% from the prior quarter.
AbCellera Biologics (ABCL) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, AbCellera Biologics' Total Current Liabilities came in at $64.31 million, down 16.1% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -9.1% (FY2020 to FY2025).
- In prior years, AbCellera Biologics' Total Current Liabilities was $76.61 million in FY2024 (-35.6%), $119.01 million in FY2023 (+0.6%), $118.32 million in FY2022 (-2.0%) and $120.68 million in FY2021 (+16.6%).
- Quarterly Total Current Liabilities has run from a low of $47.29 million in Q1 2026 to a high of $221.14 million in Q2 2022 over five years.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last nine quarters, with an average decline of 23.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2022, with growth of 217.0%; the weakest was Q1 2023, with a decline of 58.0%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $47.29 million (Q1 2026), $64.31 million (Q4 2025) and $68.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 3.94 Bn |
| 10 | AbCellera Biologics | 3.89 Bn | 3.89 Bn | - | 53.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.19 Mn |
| Mar 31, 2026 | 47.29 Mn |
| Dec 31, 2025 | 64.31 Mn |
| Sep 30, 2025 | 68.80 Mn |
| Jun 30, 2025 | 67.02 Mn |
| Mar 31, 2025 | 75.40 Mn |
| Dec 31, 2024 | 76.61 Mn |
| Sep 30, 2024 | 79.57 Mn |
| Jun 30, 2024 | 70.38 Mn |
| Mar 31, 2024 | 104.88 Mn |
| Dec 31, 2023 | 119.01 Mn |
| Sep 30, 2023 | 110.24 Mn |
| Jun 30, 2023 | 118.91 Mn |
| Mar 31, 2023 | 89.59 Mn |
| Dec 31, 2022 | 118.32 Mn |
| Sep 30, 2022 | 106.05 Mn |
| Jun 30, 2022 | 221.14 Mn |
| Mar 31, 2022 | 213.42 Mn |
| Dec 31, 2021 | 120.68 Mn |
| Sep 30, 2021 | 49.55 Mn |
AbCellera Biologics Total 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-current-liabilities&ticker=ABCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ABCL", "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-current-liabilities&ticker=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();