Odysight.ai (ODYS) Return on Capital Employed [ROCE] (2020 - 2025)
Odysight.ai (ODYS) posted Return on Capital Employed [ROCE] of -64.89% for Q4 2025, down 7.07 percentage points from -57.82% a year earlier and down 9.49 percentage points from the prior quarter.
Odysight.ai (ODYS) Return on Capital Employed [ROCE] (2020 - 2025) Analysis & Trends
For FY2025, Odysight.ai's Return on Capital Employed [ROCE] came in at -77.73%, down 15.07 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for three consecutive years, though with a five-year change of +25.61 percentage points (FY2020 to FY2025).
- In prior years, Odysight.ai's Return on Capital Employed [ROCE] was -62.66% in FY2024 (-2.86 pp), -59.80% in FY2023 (-6.36 pp), -53.44% in FY2022 (+14.50 pp) and -67.94% in FY2021 (+35.40 pp).
- The Q4 2025 figure stands as the lowest quarterly Return on Capital Employed [ROCE] since Q2 2020.
- 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 -3.76 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q2 2021, with a gain of 82.32 percentage points; the weakest was Q2 2022, with a drop of 31.35 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -55.40% (Q3 2025), -45.20% (Q2 2025) and -48.35% (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | -0.47% |
| 10 | Odysight.ai | 45.80 Mn | -79.15 Mn | 177,000.00 | -64.89% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -64.89% |
| Sep 30, 2025 | -55.40% |
| Jun 30, 2025 | -45.20% |
| Mar 31, 2025 | -48.35% |
| Dec 31, 2024 | -57.82% |
| Sep 30, 2024 | -54.54% |
| Jun 30, 2024 | -61.86% |
| Mar 31, 2024 | -59.00% |
| Dec 31, 2023 | -49.20% |
| Sep 30, 2023 | -46.57% |
| Jun 30, 2023 | -40.84% |
| Mar 31, 2023 | -47.11% |
| Dec 31, 2022 | -61.30% |
| Sep 30, 2022 | -60.25% |
| Jun 30, 2022 | -55.30% |
| Mar 31, 2022 | -48.91% |
| Dec 31, 2021 | -40.93% |
| Sep 30, 2021 | -31.90% |
| Jun 30, 2021 | -23.95% |
| Mar 31, 2021 | -34.54% |
Odysight.ai 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=ODYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "ODYS", "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=ODYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();