Genasys (GNSS) Shares Outstanding (2010 - 2026)
Genasys (GNSS) posted Weighted Average Shares Outstanding of 45.53 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.8% from 45.15 million a year earlier and up 0.6% from the prior quarter.
Genasys (GNSS) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Genasys' Weighted Average Shares Outstanding came in at 45.06 million, up 1.7% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In prior fiscal years, Genasys' Weighted Average Shares Outstanding was 44.32 million in FY2024 (+20.0%), 36.94 million in FY2023 (+1.2%), 36.5 million in FY2022 (+6.1%) and 34.41 million in FY2021 (+3.6%).
- The fiscal Q3 2026 figure stands as the highest quarterly Weighted Average Shares Outstanding in data going back to fiscal Q3 2010.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last 35 quarters, with growth averaging 3.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 0.6% in fiscal Q2 2026 to 20.4% in fiscal Q3 2024.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior fiscal quarters was 45.27 million (Q2 2026), 45.2 million (Q1 2026) and 45.06 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | 395.00 Mn |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | 210.00 Mn |
| 3 | Atlassian | 39.98 Bn | 33.26 Bn | 1.53 Bn | 260.16 Mn |
| 4 | Twilio | 30.87 Bn | 20.51 Bn | 760.53 Mn | 152.79 Mn |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | 292.88 Mn |
| 6 | Figma | 10.00 Bn | 3.32 Bn | 314.44 Mn | 532.42 Mn |
| 7 | Dropbox | 7.80 Bn | 3.43 Bn | 506.50 Mn | 224.80 Mn |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | 249.03 Mn |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | 83.86 Mn |
| 10 | Genasys | 63.51 Mn | 41.13 Mn | 4.17 Mn | 45.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.53 Mn |
| Dec 31, 2025 | 45.20 Mn |
| Sep 30, 2025 | 45.06 Mn |
| Jun 30, 2025 | 45.15 Mn |
| Mar 31, 2025 | 45.00 Mn |
| Dec 31, 2024 | 44.91 Mn |
| Sep 30, 2024 | 44.32 Mn |
| Jun 30, 2024 | 44.60 Mn |
| Mar 31, 2024 | 44.25 Mn |
| Dec 31, 2023 | 43.73 Mn |
| Sep 30, 2023 | 36.94 Mn |
| Jun 30, 2023 | 37.05 Mn |
| Mar 31, 2023 | 36.82 Mn |
| Dec 31, 2022 | 36.70 Mn |
| Sep 30, 2022 | 36.50 Mn |
| Jun 30, 2022 | 36.57 Mn |
| Mar 31, 2022 | 36.35 Mn |
| Dec 31, 2021 | 36.46 Mn |
| Sep 30, 2021 | 34.41 Mn |
| Jun 30, 2021 | 34.11 Mn |
Genasys 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=GNSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "GNSS", "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=GNSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();