Quantum Genesis AI (QGAI) Return on Capital Employed [ROCE] (2016 - 2018)
Quantum Genesis AI (QGAI) posted Return on Capital Employed [ROCE] of -13.69% for fiscal Q3 2018 (quarter ended Apr 30, 2018), up 212.52 percentage points from -226.22% a year earlier but down 73.48 percentage points from the prior quarter.
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Analysis
Quantum Genesis AI (QGAI) Return on Capital Employed [ROCE] (2016 - 2018) Analysis & Trends
For FY2017 (ended Jul 31, 2017), Quantum Genesis AI's Return on Capital Employed [ROCE] came in at -264.42%.
- Quarterly Return on Capital Employed [ROCE] has run from a low of -515.92% in fiscal Q2 2017 to a high of 59.78% in fiscal Q2 2018 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last three quarters.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior fiscal quarters was 59.78% (Q2 2018), -45.62% (Q1 2018) and -218.27% (Q4 2017).
Peer Set
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 | Quantum Genesis AI | 1.95 Mn | 1.95 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2018 | -13.69% |
| Jan 31, 2018 | 59.78% |
| Oct 31, 2017 | -45.62% |
| Jul 31, 2017 | -218.27% |
| Apr 30, 2017 | -226.22% |
| Jan 31, 2017 | -515.92% |
| Oct 31, 2016 | -211.51% |
API Access
Quantum Genesis 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=QGAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "QGAI", "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=QGAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();