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 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 4.90 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 976.00 Mn |
| 10 | AbCellera Biologics | 3.48 Bn | 2.94 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();