Aquabounty Technologies (AQB) Shares Outstanding (Diluted) (2021 - 2026)
Aquabounty Technologies (AQB) reported Shares Outstanding (Diluted) of 5.15 million for Q2 2026, up 32.9% from 3.87 million a year earlier and up 12.8% from the prior quarter.
Aquabounty Technologies (AQB) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Aquabounty Technologies posted Shares Outstanding (Diluted) of 3.87 million, up 0.3% from FY2024.
- Shares Outstanding (Diluted) has increased for four consecutive years, with a four-year compound annual growth rate of 2.8% (FY2021 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 3.86 million in FY2024 (+0.4%), 3.84 million in FY2023 (+0.3%), 3.83 million in FY2022 (+10.4%) and 3.47 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2021.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 15 quarters, with growth averaging 6.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 0.3% in Q4 2023 to 32.9% in Q2 2026.
- Per Business Quant data, the three quarters before Q2 2026 came in at 4.56 million (Q1 2026), 3.87 million (Q4 2025) and 3.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.33 Bn | 34.62 Bn | 1.94 Bn | 485.00 Mn |
| 2 | Bunge Global | 20.48 Bn | 17.99 Bn | 1.68 Bn | 195.34 Mn |
| 3 | Tyson Foods | 17.76 Bn | 14.11 Bn | 921.00 Mn | 355.00 Mn |
| 4 | Jbs | 12.04 Bn | -21.06 Bn | 2.59 Bn | 1,890.00 |
| 5 | Darling Ingredients | 9.73 Bn | 9.33 Bn | 503.37 Mn | 160.63 Mn |
| 6 | Smithfield Foods | 7.32 Bn | 2.27 Bn | 478.00 Mn | 395.77 Mn |
| 7 | Pilgrims Pride | 6.00 Bn | 3.83 Bn | 339.75 Mn | 238.84 Mn |
| 8 | Ingredion | 5.99 Bn | 2.16 Bn | 426.00 Mn | 63.90 Mn |
| 9 | Seaboard | 3.79 Bn | -1.03 Bn | 221.00 Mn | 957,794.00 |
| 10 | Aquabounty Technologies | 4.79 Mn | 993,170.76 | - | 5.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.15 Mn |
| Mar 31, 2026 | 4.56 Mn |
| Dec 31, 2025 | 3.87 Mn |
| Sep 30, 2025 | 3.88 Mn |
| Jun 30, 2025 | 3.87 Mn |
| Mar 31, 2025 | 3.87 Mn |
| Dec 31, 2024 | 3.86 Mn |
| Sep 30, 2024 | 3.87 Mn |
| Jun 30, 2024 | 3.86 Mn |
| Mar 31, 2024 | 3.85 Mn |
| Dec 31, 2023 | 3.84 Mn |
| Sep 30, 2023 | 3.85 Mn |
| Jun 30, 2023 | 3.85 Mn |
| Mar 31, 2023 | 3.84 Mn |
| Dec 31, 2022 | 3.83 Mn |
| Sep 30, 2022 | 3.83 Mn |
| Jun 30, 2022 | 3.55 Mn |
| Mar 31, 2022 | 3.63 Mn |
| Dec 31, 2021 | 3.47 Mn |
Aquabounty Technologies 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=AQB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "AQB", "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=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();