Aquabounty Technologies (AQB) Shares Outstanding (2015 - 2026)
Aquabounty Technologies (AQB) recorded Weighted Average Shares Outstanding of 5.19 million in Q3 2026, up 33.7% from 3.88 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Aquabounty Technologies (AQB) Shares Outstanding (2015 - 2026) Analysis & Trends
For FY2025, Aquabounty Technologies reported Weighted Average Shares Outstanding of 3.87 million, up 0.3% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for 11 straight years, with a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding 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 (+91.0%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2015.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 40 consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 0.1% (Q3 2022) and 91.0% (Q4 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at 5.15 million (Q2 2026), 4.56 million (Q1 2026) and 3.87 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 484.00 Mn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | 352.00 Mn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | 192.29 Mn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 1.07 Bn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | 157.47 Mn |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | 393.78 Mn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | 238.11 Mn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | 63.10 Mn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | 58.20 Mn |
| 10 | Aquabounty Technologies | 4.69 Mn | -36.65 Mn | - | 5.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.19 Mn |
| 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 | 3.57 Mn |
| Mar 31, 2023 | 3.56 Mn |
| Dec 31, 2022 | 3.83 Mn |
| Sep 30, 2022 | 3.55 Mn |
| Jun 30, 2022 | 3.55 Mn |
| Mar 31, 2022 | 3.55 Mn |
| Dec 31, 2021 | 3.47 Mn |
API Access
Aquabounty Technologies 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=AQB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();