Cyberloq Technologies (CLOQ) Price to Book (2017 - 2024)
Cyberloq Technologies' (CLOQ) Price to Book came in at 44.15 for Q1 2024, down 53.4% from 94.66 a year earlier but up 43.1% from the prior quarter.
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Analysis
Cyberloq Technologies (CLOQ) Price to Book (2017 - 2024) Analysis & Trends
For FY2023, Cyberloq Technologies' Price to Book stood at 30.84, down 89.4% from FY2022.
- In prior years, Cyberloq Technologies' Price to Book was 290.38 in FY2022 and 18.01 in FY2019 (+10.9%).
- Quarterly Price to Book has run from a low of 17.67 in Q1 2020 to a high of 662.48 in Q3 2021 over five years.
- According to Business Quant data, Price to Book for the three prior quarters was 30.84 (Q4 2023), 44.91 (Q3 2023) and 45.32 (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Cyberloq Technologies | 18.37 Mn | 17.95 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 44.15 |
| Dec 31, 2023 | 30.84 |
| Sep 30, 2023 | 44.91 |
| Jun 30, 2023 | 45.32 |
| Mar 31, 2023 | 94.66 |
| Dec 31, 2022 | 290.38 |
| Sep 30, 2021 | 662.48 |
| Jun 30, 2021 | 115.39 |
| Sep 30, 2020 | 42.97 |
| Jun 30, 2020 | 29.12 |
| Mar 31, 2020 | 17.67 |
| Dec 31, 2019 | 18.01 |
| Jun 30, 2019 | 18.71 |
| Mar 31, 2019 | 17.70 |
| Dec 31, 2018 | 16.25 |
| Sep 30, 2018 | 20.18 |
| Jun 30, 2018 | 23.57 |
| Mar 31, 2018 | 25.79 |
| Dec 31, 2017 | 27.11 |
| Sep 30, 2017 | 37.58 |
API Access
Cyberloq Technologies Price to Book 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=price-to-book&ticker=CLOQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();