Genasys (GNSS) Total Current Liabilities (2010 - 2026)
Genasys' Total Current Liabilities was $47.58 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 3.7% from $49.4 million a year earlier and down 10.5% from the prior quarter.
Genasys (GNSS) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Current Liabilities at Genasys came in at $54.44 million, up 286.5% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 39.5% (FY2020 to FY2025).
- In earlier fiscal years, Total Current Liabilities was $14.09 million in FY2024 (+25.1%), $11.26 million in FY2023 (-26.7%), $15.37 million in FY2022 (-12.0%) and $17.47 million in FY2021 (+69.2%).
- The fiscal Q3 2026 figure marks the lowest quarterly Total Current Liabilities since fiscal Q2 2025.
- Compared with a year earlier, Total Current Liabilities was higher in seven of the last eight quarters, with growth averaging 137.8%.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q3 2025 (growth of 302.5%); the worst was fiscal Q1 2023 (a decline of 27.6%).
- Per Business Quant data, GNSS's Total Current Liabilities in the three fiscal quarters before Q3 2026 was $53.16 million (Q2 2026), $60.01 million (Q1 2026) and $54.44 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | 11.89 Bn |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | 6.63 Bn |
| 3 | Atlassian | 39.98 Bn | 33.26 Bn | 1.53 Bn | 3.57 Bn |
| 4 | Twilio | 30.87 Bn | 20.51 Bn | 760.53 Mn | 891.50 Mn |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | 2.12 Bn |
| 6 | Figma | 10.00 Bn | 3.32 Bn | 314.44 Mn | 844.18 Mn |
| 7 | Dropbox | 7.80 Bn | 3.43 Bn | 506.50 Mn | 1.18 Bn |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | 2.62 Bn |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | 679.16 Mn |
| 10 | Genasys | 63.51 Mn | 41.13 Mn | 4.17 Mn | 47.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.58 Mn |
| Dec 31, 2025 | 60.01 Mn |
| Sep 30, 2025 | 54.44 Mn |
| Jun 30, 2025 | 49.40 Mn |
| Mar 31, 2025 | 22.62 Mn |
| Dec 31, 2024 | 21.05 Mn |
| Sep 30, 2024 | 14.09 Mn |
| Jun 30, 2024 | 12.27 Mn |
| Mar 31, 2024 | 11.93 Mn |
| Dec 31, 2023 | 11.55 Mn |
| Sep 30, 2023 | 11.26 Mn |
| Jun 30, 2023 | 12.50 Mn |
| Mar 31, 2023 | 11.94 Mn |
| Dec 31, 2022 | 11.64 Mn |
| Sep 30, 2022 | 15.37 Mn |
| Jun 30, 2022 | 15.21 Mn |
| Mar 31, 2022 | 14.28 Mn |
| Dec 31, 2021 | 16.07 Mn |
| Sep 30, 2021 | 17.47 Mn |
| Jun 30, 2021 | 17.19 Mn |
Genasys Total Current 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-current-liabilities&ticker=GNSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=GNSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();