Genasys (GNSS) Return on Capital Employed [ROCE] (2011 - 2026)
Genasys (GNSS) posted Return on Capital Employed [ROCE] of -58.58% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 548.17 percentage points from -606.75% a year earlier.
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Analysis
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 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in 1 of the last seven quarters, with an average year-over-year change of -64.71 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 548.17 percentage points; the weakest was fiscal Q3 2025, with a drop of 555.01 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | 51.31% |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 0.45% |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 2.39% |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | 35.01% |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 11.23% |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | -93.81% |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | 38.55% |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 43.95% |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 23.49% |
| 10 | Genasys | 66.04 Mn | 39.15 Mn | 4.17 Mn | -58.58% |
Historic Data
Download Data
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% |
API Access
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_KEYimport 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();