Cyberloq Technologies (CLOQ) Receivables (2012 - 2024)
Cyberloq Technologies' Receivables was $25,000 in Q1 2024, up 150.0% from the prior quarter.
Analysis
Cyberloq Technologies (CLOQ) Receivables (2012 - 2024) Analysis & Trends
At the end of FY2023, Receivables at Cyberloq Technologies came in at $10,000.
- Receivables shows a four-year compound annual growth rate of -29.4% (FY2019 to FY2023).
- In earlier years, Receivables was $40,300 in FY2019.
- The Q1 2024 figure marks the highest quarterly Receivables since Q2 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 718.46 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 1.46 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 963.88 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 1.15 Bn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 1.52 Bn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 483.22 Mn |
| 10 | Cyberloq Technologies | 21.20 Mn | 20.77 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 25,000.00 |
| Dec 31, 2023 | 10,000.00 |
| Sep 30, 2021 | 300.00 |
| Jun 30, 2021 | 300.00 |
| Sep 30, 2020 | 300.00 |
| Jun 30, 2020 | 40,000.00 |
| Mar 31, 2020 | 40,300.00 |
| Dec 31, 2019 | 40,300.00 |
| Sep 30, 2019 | 50,000.00 |
| Jun 30, 2019 | 50,300.00 |
| Jun 30, 2017 | 12,000.00 |
| Mar 31, 2014 | 899.00 |
| Dec 31, 2013 | 1,000.00 |
| Dec 31, 2012 | 3,200.00 |
API Access
Cyberloq Technologies Receivables 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=receivables&ticker=CLOQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();