AbCellera Biologics (ABCL) Current Assets (2020 - 2026)
AbCellera Biologics' Current Assets came in at $679.23 million for Q2 2026, down 8.5% from $742.15 million a year earlier but up 2.2% from the prior quarter.
AbCellera Biologics (ABCL) Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, AbCellera Biologics' Current Assets was $728.23 million, down 3.1% from FY2024.
- Current Assets has declined in each of the last three years, with a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- Going back by year, Current Assets was $751.37 million in FY2024 (-13.8%), $871.99 million in FY2023 (-15.0%), $1.03 billion in FY2022 (+10.3%) and $929.8 million in FY2021 (+14.3%).
- The five-year range for quarterly Current Assets is $664.6 million (Q1 2026) to $1.17 billion (Q1 2022).
- Year-over-year, Current Assets has declined for 14 consecutive quarters, with an average decline of 9.2% over the last eight quarters.
- The fastest year-over-year change in Current Assets over five years came in Q2 2022 (growth of 32.4%), and the weakest in Q1 2023 (a decline of 19.9%).
- Business Quant data shows ABCL's Current Assets at $664.6 million (Q1 2026), $728.23 million (Q4 2025) and $695.14 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 59.77 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 33.67 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 36.68 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 27.35 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 27.97 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 34.96 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 13.95 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 41.36 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 12.54 Bn |
| 10 | AbCellera Biologics | 3.89 Bn | 3.89 Bn | - | 679.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 679.23 Mn |
| Mar 31, 2026 | 664.60 Mn |
| Dec 31, 2025 | 728.23 Mn |
| Sep 30, 2025 | 695.14 Mn |
| Jun 30, 2025 | 742.15 Mn |
| Mar 31, 2025 | 764.98 Mn |
| Dec 31, 2024 | 751.37 Mn |
| Sep 30, 2024 | 742.88 Mn |
| Jun 30, 2024 | 771.55 Mn |
| Mar 31, 2024 | 813.95 Mn |
| Dec 31, 2023 | 871.99 Mn |
| Sep 30, 2023 | 919.52 Mn |
| Jun 30, 2023 | 930.74 Mn |
| Mar 31, 2023 | 940.65 Mn |
| Dec 31, 2022 | 1.03 Bn |
| Sep 30, 2022 | 1.05 Bn |
| Jun 30, 2022 | 1.14 Bn |
| Mar 31, 2022 | 1.17 Bn |
| Dec 31, 2021 | 929.80 Mn |
| Sep 30, 2021 | 803.75 Mn |
AbCellera Biologics Current Assets 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=current-assets&ticker=ABCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();