Genasys (GNSS) Total Liabilities (2010 - 2026)
Genasys (GNSS) reported Total Liabilities of $59.57 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 9.8% from $54.23 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Genasys (GNSS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Genasys posted Total Liabilities of $61.7 million, up 69.6% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 29.4% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $36.37 million in FY2024 (+126.0%), $16.09 million in FY2023 (-25.0%), $21.46 million in FY2022 (-46.0%) and $39.74 million in FY2021 (+133.4%).
- Five-year quarterly Total Liabilities spans a low of $16.09 million in fiscal Q1 2024 and a high of $65.84 million in fiscal Q1 2026.
- Year over year, Total Liabilities has now increased in each of the last nine quarters, with growth averaging 86.9% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q2 2025 (growth of 158.0%); the low point was fiscal Q1 2023 (a decline of 57.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $58.6 million (Q2 2026), $65.84 million (Q1 2026) and $61.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | 18.22 Bn |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | 9.60 Bn |
| 3 | Atlassian | 39.98 Bn | 33.26 Bn | 1.53 Bn | 5.05 Bn |
| 4 | Twilio | 30.87 Bn | 20.51 Bn | 760.53 Mn | 1.94 Bn |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | 2.28 Bn |
| 6 | Figma | 10.00 Bn | 3.32 Bn | 314.44 Mn | 946.92 Mn |
| 7 | Dropbox | 7.80 Bn | 3.43 Bn | 506.50 Mn | 5.01 Bn |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | 9.09 Bn |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | 1.89 Bn |
| 10 | Genasys | 63.51 Mn | 41.13 Mn | 4.17 Mn | 59.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.57 Mn |
| Dec 31, 2025 | 65.84 Mn |
| Sep 30, 2025 | 61.70 Mn |
| Jun 30, 2025 | 54.23 Mn |
| Mar 31, 2025 | 41.67 Mn |
| Dec 31, 2024 | 40.97 Mn |
| Sep 30, 2024 | 36.37 Mn |
| Jun 30, 2024 | 30.94 Mn |
| Mar 31, 2024 | 16.15 Mn |
| Dec 31, 2023 | 16.09 Mn |
| Sep 30, 2023 | 16.09 Mn |
| Jun 30, 2023 | 17.17 Mn |
| Mar 31, 2023 | 16.90 Mn |
| Dec 31, 2022 | 16.86 Mn |
| Sep 30, 2022 | 21.46 Mn |
| Jun 30, 2022 | 21.24 Mn |
| Mar 31, 2022 | 20.59 Mn |
| Dec 31, 2021 | 39.68 Mn |
| Sep 30, 2021 | 39.74 Mn |
| Jun 30, 2021 | 28.57 Mn |
API Access
Genasys Total Liabilities 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=total-liabilities&ticker=GNSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GNSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();