Genasys (GNSS) Selling, General & Administrative (2010 - 2026)
Genasys (GNSS) recorded Selling, General & Administrative of $6.13 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 4.6% from $6.42 million a year earlier.
Genasys (GNSS) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Genasys' Selling, General & Administrative came in at $24.95 million as of Jun 30, 2026, down 8.8% year-over-year; for FY2025 (ended Sep 30, 2025), it was $25.66 million, down 5.9% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- Across earlier fiscal years, Selling, General & Administrative came in at $27.26 million in FY2024 (+10.7%), $24.62 million in FY2023 (+8.8%), $22.64 million in FY2022 (+29.9%) and $17.42 million in FY2021 (+44.7%).
- Quarterly Selling, General & Administrative has ranged from $5.04 million in fiscal Q1 2022 to $7.46 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in three of the last seven quarters, with an average decline of 1.1%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 73.8% in fiscal Q4 2021, against a decline of 22.8% in fiscal Q4 2025 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.34 Bn | 69.59 Bn | 6.00 Bn | 488.00 Mn |
| 2 | Atlassian | 49.41 Bn | 42.69 Bn | 1.53 Bn | 168.19 Mn |
| 3 | Twilio | 46.29 Bn | 36.29 Bn | 725.87 Mn | 118.43 Mn |
| 4 | Autodesk | 44.16 Bn | 32.20 Bn | 1.87 Bn | 179.00 Mn |
| 5 | Zoom Communications | 27.42 Bn | -3.37 Bn | 985.50 Mn | 98.16 Mn |
| 6 | Figma | 11.43 Bn | 4.94 Bn | 309.61 Mn | 104.72 Mn |
| 7 | Dropbox | 7.49 Bn | 3.12 Bn | 506.50 Mn | 63.80 Mn |
| 8 | Nice | 7.04 Bn | 5.51 Bn | 995.81 Mn | 179.22 Mn |
| 9 | RingCentral | 6.56 Bn | 6.05 Bn | 472.31 Mn | 64.32 Mn |
| 10 | Genasys | 64.67 Mn | 37.79 Mn | 4.17 Mn | 6.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.13 Mn |
| Dec 31, 2025 | 6.64 Mn |
| Sep 30, 2025 | 5.76 Mn |
| Jun 30, 2025 | 6.42 Mn |
| Mar 31, 2025 | 6.65 Mn |
| Dec 31, 2024 | 6.83 Mn |
| Sep 30, 2024 | 7.46 Mn |
| Jun 30, 2024 | 6.65 Mn |
| Mar 31, 2024 | 6.64 Mn |
| Dec 31, 2023 | 6.52 Mn |
| Sep 30, 2023 | 6.18 Mn |
| Jun 30, 2023 | 6.00 Mn |
| Mar 31, 2023 | 6.05 Mn |
| Dec 31, 2022 | 6.38 Mn |
| Sep 30, 2022 | 5.84 Mn |
| Jun 30, 2022 | 5.79 Mn |
| Mar 31, 2022 | 5.81 Mn |
| Dec 31, 2021 | 5.04 Mn |
| Sep 30, 2021 | 5.49 Mn |
| Jun 30, 2021 | 4.78 Mn |
Genasys Selling, General & Administrative 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=selling-general-and-administrative&ticker=GNSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GNSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();