Genasys (GNSS) Shares Outstanding (Diluted) (2010 - 2026)
Genasys (GNSS) reported Weighted Average Shares Outstanding (Diluted) of 45.53 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.8% from 45.15 million a year earlier but down 1.0% from the prior quarter.
Genasys (GNSS) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Genasys posted Weighted Average Shares Outstanding (Diluted) of 45.06 million, up 1.7% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- By fiscal year, Weighted Average Shares Outstanding (Diluted) came in at 44.32 million in FY2024 (+20.0%), 36.94 million in FY2023 (+1.2%), 36.5 million in FY2022 (+2.5%) and 35.59 million in FY2021 (+4.4%).
- Five-year quarterly Weighted Average Shares Outstanding (Diluted) spans a low of 35.59 million in fiscal Q4 2021 and a high of 46.01 million in fiscal Q2 2026.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 22 quarters, with growth averaging 3.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding (Diluted) ranged from 0.6% (fiscal Q1 2026) to 20.4% (fiscal Q3 2024).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 46.01 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 (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | 395.50 Mn |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | 211.00 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 | 159.71 Mn |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | 299.75 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 | 226.80 Mn |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | 249.37 Mn |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | 87.69 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 | 35.59 Mn |
| Jun 30, 2021 | 35.27 Mn |
Genasys 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=GNSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=GNSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();