Cyberloq Technologies (CLOQ) EBITDA (2017 - 2022)
Cyberloq Technologies (CLOQ) recorded EBITDA of -$275,915 in Q1 2022, compared with -$93,264 a year earlier.
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Analysis
Cyberloq Technologies (CLOQ) EBITDA (2017 - 2022) Analysis & Trends
On a TTM basis, Cyberloq Technologies' EBITDA came in at -$845,232 as of Mar 31, 2022; for FY2020, it came in at -$738,072.
- Across earlier years, EBITDA came in at -$399,256 in FY2019, -$907,769 in FY2018 and -$600,683 in FY2017.
- Quarterly EBITDA has ranged from -$443,375 in Q3 2018 to -$76,226 in Q2 2019 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 693.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 170.34 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | -134.60 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 843.00 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 119.30 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 93.76 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 166.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 79.24 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 35.33 Mn |
| 10 | Cyberloq Technologies | 21.20 Mn | 20.77 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | -275,915.00 |
| Sep 30, 2021 | -278,307.00 |
| Jun 30, 2021 | -197,746.00 |
| Mar 31, 2021 | -93,264.00 |
| Dec 31, 2020 | -412,472.00 |
| Sep 30, 2020 | -155,001.00 |
| Jun 30, 2020 | -78,872.00 |
| Mar 31, 2020 | -91,729.00 |
| Dec 31, 2019 | -125,606.00 |
| Sep 30, 2019 | -84,536.00 |
| Jun 30, 2019 | -76,226.00 |
| Mar 31, 2019 | -112,886.00 |
| Dec 31, 2018 | -174,733.00 |
| Sep 30, 2018 | -443,375.00 |
| Jun 30, 2018 | -127,051.00 |
| Mar 31, 2018 | -162,335.00 |
| Dec 31, 2017 | -206,487.00 |
| Sep 30, 2017 | -143,979.00 |
| Jun 30, 2017 | -78,535.00 |
API Access
Cyberloq Technologies EBITDA 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=ebitda&ticker=CLOQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();