AbCellera Biologics (ABCL) Shares Outstanding (Diluted) (2020 - 2026)
AbCellera Biologics (ABCL) recorded Shares Outstanding (Diluted) of 305.56 million in 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 (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, AbCellera Biologics reported Shares Outstanding (Diluted) of 298.71 million, up 1.5% from FY2024.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 294.33 million in FY2024 (+1.8%), 289.17 million in FY2023 (-8.2%), 314.83 million in FY2022 (-1.1%) and 318.29 million in FY2021 (+21.0%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) since Q4 2022.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for ten consecutive quarters, with growth averaging 1.7% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 82.3% in Q3 2021, against a decline of 8.3% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 303.07 million (Q1 2026), 298.71 million (Q4 2025) and 298.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 2.44 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 | 1.96 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 544.00 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 | 255.20 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 | 314.83 Mn |
| Sep 30, 2022 | 315.82 Mn |
| Jun 30, 2022 | 284.69 Mn |
| Mar 31, 2022 | 311.48 Mn |
| Dec 31, 2021 | 318.29 Mn |
| Sep 30, 2021 | 278.93 Mn |
AbCellera Biologics Shares Outstanding (Diluted) 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-diluted&ticker=ABCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();