AbCellera Biologics (ABCL) Shares Outstanding (2020 - 2026)
AbCellera Biologics' Shares Outstanding came in at 305.56 million for Q2 2026, up 2.4% from 298.51 million a year earlier and up 0.8% from the prior quarter.
AbCellera Biologics (ABCL) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, AbCellera Biologics' Shares Outstanding was 298.71 million, up 1.5% from FY2024.
- Shares Outstanding has increased in each of the last six years, with a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 294.33 million in FY2024 (+1.8%), 289.17 million in FY2023 (+1.4%), 285.06 million in FY2022 (+3.4%) and 275.76 million in FY2021 (+73.2%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding in data going back to Q1 2020.
- Year-over-year, Shares Outstanding has increased for 22 consecutive quarters, with growth averaging 1.7% over the last eight quarters.
- The year-over-year growth in Shares Outstanding has ranged between 1.4% (Q1 2023) and 82.3% (Q3 2021) over the last five years.
- Business Quant data shows ABCL's Shares Outstanding at 303.07 million (Q1 2026), 298.71 million (Q4 2025) and 298.88 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 2.41 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 1.94 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 1.55 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 540.00 Mn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 253.70 Mn |
| 10 | AbCellera Biologics | 3.89 Bn | 3.89 Bn | - | 305.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 305.56 Mn |
| Mar 31, 2026 | 303.07 Mn |
| Dec 31, 2025 | 298.71 Mn |
| Sep 30, 2025 | 298.88 Mn |
| Jun 30, 2025 | 298.51 Mn |
| Mar 31, 2025 | 297.69 Mn |
| Dec 31, 2024 | 294.33 Mn |
| Sep 30, 2024 | 294.85 Mn |
| Jun 30, 2024 | 294.22 Mn |
| Mar 31, 2024 | 292.72 Mn |
| Dec 31, 2023 | 289.17 Mn |
| Sep 30, 2023 | 289.50 Mn |
| Jun 30, 2023 | 288.91 Mn |
| Mar 31, 2023 | 287.77 Mn |
| Dec 31, 2022 | 285.06 Mn |
| Sep 30, 2022 | 285.32 Mn |
| Jun 30, 2022 | 284.69 Mn |
| Mar 31, 2022 | 283.90 Mn |
| Dec 31, 2021 | 275.76 Mn |
| Sep 30, 2021 | 278.93 Mn |
AbCellera Biologics Shares Outstanding 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=shares-outstanding&ticker=ABCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();