Cyberloq Technologies (CLOQ) Return on Capital Employed [ROCE] (2017 - 2024)
Cyberloq Technologies (CLOQ) recorded Return on Capital Employed [ROCE] of -325.08% in Q1 2024, up 331.17 percentage points from -656.25% a year earlier but down 132.78 percentage points from the prior quarter.
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Analysis
Cyberloq Technologies (CLOQ) Return on Capital Employed [ROCE] (2017 - 2024) Analysis & Trends
For FY2022, Cyberloq Technologies reported Return on Capital Employed [ROCE] of -7547.56%.
- Annual Return on Capital Employed [ROCE] has a five-year change of -7238.47 percentage points (FY2017 to FY2022).
- Across earlier years, Return on Capital Employed [ROCE] came in at -134.31% in FY2019 (+38.24 pp) and -172.55% in FY2018 (+136.54 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from -5455.83% in Q3 2022 to -117.67% in Q3 2019 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of +616.15 percentage points over the last five quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 5185.75 percentage points in Q3 2023, against a drop of 4873.13 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -192.30% (Q4 2023), -270.08% (Q3 2023) and -273.74% (Q2 2023).
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 | Cyberloq Technologies | 18.37 Mn | 17.95 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | -325.08% |
| Dec 31, 2023 | -192.30% |
| Sep 30, 2023 | -270.08% |
| Jun 30, 2023 | -273.74% |
| Mar 31, 2023 | -656.25% |
| Dec 31, 2022 | -2,082.71% |
| Sep 30, 2022 | -5,455.83% |
| Dec 31, 2021 | -2,629.23% |
| Sep 30, 2021 | -582.70% |
| Jun 30, 2021 | -4,804.60% |
| Sep 30, 2020 | -338.05% |
| Jun 30, 2020 | -164.23% |
| Mar 31, 2020 | -140.71% |
| Dec 31, 2019 | -140.23% |
| Sep 30, 2019 | -117.67% |
| Jun 30, 2019 | -194.85% |
| Mar 31, 2019 | -213.48% |
| Dec 31, 2018 | -201.86% |
| Sep 30, 2018 | -190.63% |
| Jun 30, 2018 | -156.34% |
API Access
Cyberloq Technologies 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=CLOQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "CLOQ", "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=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();