Genasys (GNSS) Long-Term Debt Repayments (2018 - 2025)
Genasys (GNSS) posted Long-Term Debt Repayments of $4 million for fiscal Q1 2026 (quarter ended Dec 31, 2025).
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Analysis
Genasys (GNSS) Long-Term Debt Repayments (2018 - 2025) Analysis & Trends
For FY2022 (ended Sep 30, 2022), Genasys' Long-Term Debt Repayments came in at $277,000.
- Annual Long-Term Debt Repayments shows a four-year compound annual growth rate of -30.3% (FY2018 to FY2022).
- In prior fiscal years, Genasys' Long-Term Debt Repayments was $18,000 in FY2021 (+5.9%), $17,000 in FY2020 (unchanged), $17,000 in FY2019 (-98.6%) and $1.18 million in FY2018.
- The fiscal Q1 2026 figure stands as the lowest quarterly Long-Term Debt Repayments since fiscal Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | 250.00 Mn |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | - |
| 3 | Atlassian | 39.98 Bn | 33.26 Bn | 1.53 Bn | - |
| 4 | Twilio | 30.87 Bn | 20.51 Bn | 760.53 Mn | 65,000.00 |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | - |
| 6 | Figma | 10.00 Bn | 3.32 Bn | 314.44 Mn | - |
| 7 | Dropbox | 7.80 Bn | 3.43 Bn | 506.50 Mn | 35.30 Mn |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | 458.96 Mn |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | 167.97 Mn |
| 10 | Genasys | 63.51 Mn | 41.13 Mn | 4.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.00 Mn |
| Jun 30, 2022 | 260,000.00 |
| Sep 30, 2019 | -44.00 |
| Sep 30, 2018 | 388,768.00 |
| Jun 30, 2018 | 371,960.00 |
API Access
Genasys Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GNSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GNSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();