Genasys (GNSS) Return on Capital Employed [ROCE] (2011 - 2026)
Genasys (GNSS) posted Return on Capital Employed [ROCE] of -14.52% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 592.23 percentage points from -606.75% a year earlier and up 17.57 percentage points from the prior quarter.
Genasys (GNSS) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Genasys' Return on Capital Employed [ROCE] came in at -376.36%, down 305.75 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -389.40 percentage points (FY2020 to FY2025).
- In prior fiscal years, Genasys' Return on Capital Employed [ROCE] was -70.61% in FY2024 (-48.47 pp), -22.14% in FY2023 (+1.53 pp), -23.67% in FY2022 (-25.45 pp) and 1.79% in FY2021 (-11.25 pp).
- The fiscal Q3 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since fiscal Q3 2022.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -44.69 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was fiscal Q3 2026, with a gain of 592.23 percentage points; the weakest was fiscal Q3 2025, with a drop of 555.01 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior fiscal quarters was -32.09% (Q2 2026), -195.20% (Q1 2026) and -271.35% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.12 Bn | 69.37 Bn | 6.00 Bn | 51.31% |
| 2 | Autodesk | 55.11 Bn | 43.15 Bn | 1.87 Bn | 35.01% |
| 3 | Atlassian | 40.21 Bn | 33.49 Bn | 1.53 Bn | 0.45% |
| 4 | Twilio | 31.46 Bn | 21.10 Bn | 760.53 Mn | 3.94% |
| 5 | Zoom Communications | 27.03 Bn | -3.70 Bn | 985.50 Mn | 11.02% |
| 6 | Figma | 10.38 Bn | 3.70 Bn | 314.44 Mn | -36.11% |
| 7 | Dropbox | 7.63 Bn | 3.26 Bn | 506.50 Mn | 38.55% |
| 8 | RingCentral | 6.26 Bn | 5.79 Bn | 494.30 Mn | 20.72% |
| 9 | Open Text | 6.18 Bn | 1.61 Bn | 1.01 Bn | 10.22% |
| 10 | Genasys | 65.33 Mn | 42.95 Mn | 4.17 Mn | -14.52% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -58.58% |
| Dec 31, 2025 | -195.20% |
| Sep 30, 2025 | -271.35% |
| Jun 30, 2025 | -606.75% |
| Mar 31, 2025 | -83.52% |
| Dec 31, 2024 | -76.51% |
| Sep 30, 2024 | -62.73% |
| Jun 30, 2024 | -51.74% |
| Mar 31, 2024 | -43.70% |
| Dec 31, 2023 | -35.30% |
| Sep 30, 2023 | -24.92% |
| Jun 30, 2023 | -43.33% |
| Mar 31, 2023 | -39.68% |
| Dec 31, 2022 | -30.80% |
| Sep 30, 2022 | -24.61% |
| Jun 30, 2022 | -2.95% |
| Mar 31, 2022 | -1.27% |
| Dec 31, 2021 | 0.23% |
| Sep 30, 2021 | 1.46% |
| Jun 30, 2021 | 5.31% |
Genasys Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=GNSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=GNSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();