Cyberloq Technologies (CLOQ) Revenue (2011 - 2024)
Cyberloq Technologies' Revenue came in at $15,000 for FY2024, down 6.2% from $15,993 in FY2023.
Analysis
Cyberloq Technologies (CLOQ) Revenue (2011 - 2024) Analysis & Trends
Going back to FY2011, Cyberloq Technologies' Revenue data covers 13 years.
- Revenue carries a five-year compound annual growth rate of -27.9% (FY2019 to FY2024).
- The five-year range for annual Revenue is $197.00 (FY2021) to $19,944 (FY2020).
- Per Business Quant, earlier years put Revenue at $15,993 in FY2023 (+498.8%), $2,671 in FY2022, $197.00 in FY2021 (-99.0%) and $19,944 in FY2020 (-74.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 805.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 904.39 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 4.62 Bn |
| 10 | Cyberloq Technologies | 21.20 Mn | 20.77 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 15,000.00 |
| Dec 31, 2023 | 15,000.00 |
| Mar 31, 2023 | 993.00 |
| Dec 31, 2022 | -416.00 |
| Sep 30, 2022 | 1,683.00 |
| Jun 30, 2022 | 1,104.00 |
| Mar 31, 2022 | 300.00 |
| Dec 31, 2021 | -703.00 |
| Sep 30, 2021 | 954.00 |
| Jun 30, 2021 | 939.00 |
| Mar 31, 2021 | 300.00 |
| Dec 31, 2020 | 28.00 |
| Sep 30, 2020 | 3,807.00 |
| Jun 30, 2020 | 7,968.00 |
| Mar 31, 2020 | 8,140.00 |
| Dec 31, 2019 | -18,514.00 |
| Sep 30, 2019 | 22,814.00 |
| Jun 30, 2019 | 56,873.00 |
| Mar 31, 2019 | 6,249.00 |
| Dec 31, 2018 | 6,249.00 |
API Access
Cyberloq Technologies Revenue 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=revenue&ticker=CLOQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();