Oculus (OVTZ) Return on Capital Employed [ROCE] (2015 - 2022)
Oculus (OVTZ) posted Return on Capital Employed [ROCE] of -333.69% for FY2023, up 1829.22 percentage points from -2162.91% in FY2022.
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Analysis
Oculus (OVTZ) Return on Capital Employed [ROCE] (2015 - 2022) Analysis & Trends
Since FY2015, Oculus has reported Return on Capital Employed [ROCE] for 5 years.
- Annual Return on Capital Employed [ROCE] shows a four-year change of -5.03 percentage points (FY2019 to FY2023).
- The FY2023 figure stands as the highest annual Return on Capital Employed [ROCE] since FY2019.
- Business Quant data shows OVTZ's Return on Capital Employed [ROCE] at -2162.91% in FY2022, -1019.60% in FY2020 (-690.94 pp) and -328.66% in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 9.81% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 33.74% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -68.70% |
| 10 | Oculus | 2.74 Mn | 2.70 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | -259.52% |
| Sep 30, 2021 | -142.36% |
| Jun 30, 2021 | -233.82% |
| Mar 31, 2021 | -1,476.27% |
| Dec 31, 2020 | -196.11% |
| Sep 30, 2020 | -18.93% |
| Jun 30, 2020 | -16.56% |
| Mar 31, 2020 | -107.12% |
| Dec 31, 2019 | -74.69% |
| Sep 30, 2019 | -83.32% |
| Jun 30, 2019 | -286.61% |
| Mar 31, 2016 | -515.28% |
| Dec 31, 2015 | -934.29% |
API Access
Oculus 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=OVTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "OVTZ", "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=OVTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();