AbCellera Biologics (ABCL) Cash & Equivalents (2020 - 2026)
AbCellera Biologics (ABCL) posted Cash & Equivalents of $120.07 million for Q2 2026, up 29.9% from $92.44 million a year earlier and up 55.8% from the prior quarter.
AbCellera Biologics (ABCL) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, AbCellera Biologics' Cash & Equivalents came in at $128.51 million, down 17.8% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -26.4% (FY2020 to FY2025).
- In prior years, AbCellera Biologics' Cash & Equivalents was $156.33 million in FY2024 (+17.3%), $133.32 million in FY2023 (-85.0%), $886.49 million in FY2022 (+22.6%) and $722.98 million in FY2021 (+21.7%).
- Quarterly Cash & Equivalents has run from a low of $77.06 million in Q1 2026 to a high of $1.02 billion in Q2 2022 over five years.
- On a year-over-year basis, Cash & Equivalents increased in three of the last eight quarters, with an average decline of 18.7%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2022, with growth of 67.7%; the weakest was Q4 2023, with a decline of 85.0%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $77.06 million (Q1 2026), $128.51 million (Q4 2025) and $83.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 6.14 Bn |
| 10 | AbCellera Biologics | 3.89 Bn | 3.89 Bn | - | 120.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.07 Mn |
| Mar 31, 2026 | 77.06 Mn |
| Dec 31, 2025 | 128.51 Mn |
| Sep 30, 2025 | 83.16 Mn |
| Jun 30, 2025 | 92.44 Mn |
| Mar 31, 2025 | 159.27 Mn |
| Dec 31, 2024 | 156.33 Mn |
| Sep 30, 2024 | 126.64 Mn |
| Jun 30, 2024 | 148.31 Mn |
| Mar 31, 2024 | 123.57 Mn |
| Dec 31, 2023 | 133.32 Mn |
| Sep 30, 2023 | 785.84 Mn |
| Jun 30, 2023 | 795.69 Mn |
| Mar 31, 2023 | 796.50 Mn |
| Dec 31, 2022 | 886.49 Mn |
| Sep 30, 2022 | 868.21 Mn |
| Jun 30, 2022 | 1.02 Bn |
| Mar 31, 2022 | 786.05 Mn |
| Dec 31, 2021 | 722.98 Mn |
| Sep 30, 2021 | 517.69 Mn |
AbCellera Biologics Cash & Equivalents 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=cash-and-equivalents&ticker=ABCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();