Genasys (GNSS) EBITDA (2010 - 2026)
Genasys (GNSS) posted EBITDA of -$3.93 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with -$5.24 million a year earlier.
Genasys (GNSS) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Genasys was -$6.86 million; for FY2025 (ended Sep 30, 2025), it was -$14.03 million.
- In prior fiscal years, Genasys' EBITDA was -$23.79 million in FY2024, -$8.43 million in FY2023, -$12.98 million in FY2022 and $2.68 million in FY2021 (-60.8%).
- Quarterly EBITDA has run from a low of -$12.13 million in fiscal Q4 2022 to a high of $1.98 million in fiscal Q4 2025 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 2.57 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 250.15 Mn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 130.48 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 824.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 341.62 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | -117.29 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 206.40 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 354.97 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 146.67 Mn |
| 10 | Genasys | 66.04 Mn | 39.15 Mn | 4.17 Mn | -3.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.93 Mn |
| Dec 31, 2025 | 330,000.00 |
| Sep 30, 2025 | 1.98 Mn |
| Jun 30, 2025 | -5.24 Mn |
| Mar 31, 2025 | -5.56 Mn |
| Dec 31, 2024 | -5.20 Mn |
| Sep 30, 2024 | -6.40 Mn |
| Jun 30, 2024 | -4.63 Mn |
| Mar 31, 2024 | -6.26 Mn |
| Dec 31, 2023 | -6.50 Mn |
| Sep 30, 2023 | -2.00 Mn |
| Jun 30, 2023 | -814,000.00 |
| Mar 31, 2023 | -2.77 Mn |
| Dec 31, 2022 | -2.84 Mn |
| Sep 30, 2022 | -12.13 Mn |
| Jun 30, 2022 | 9,000.00 |
| Mar 31, 2022 | 116,000.00 |
| Dec 31, 2021 | -970,000.00 |
| Sep 30, 2021 | 1.35 Mn |
| Jun 30, 2021 | 921,000.00 |
Genasys EBITDA 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=ebitda&ticker=GNSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GNSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();