Cyberloq Technologies (CLOQ) Accumulated Expenses (2018 - 2026)
Cyberloq Technologies (CLOQ) recorded Accumulated Expenses of $2,186 in Q2 2022.
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Analysis
Cyberloq Technologies (CLOQ) Accumulated Expenses (2018 - 2026) Analysis & Trends
Starting with Q2 2018, Cyberloq Technologies' Accumulated Expenses history includes 4 quarters.
- The Q2 2022 figure is the highest quarterly Accumulated Expenses since Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | Cyberloq Technologies | 21.20 Mn | 20.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 815,541.00 |
| Mar 31, 2026 | 718,414.00 |
| Dec 31, 2025 | 629,690.00 |
| Sep 30, 2025 | 584,246.00 |
| Jun 30, 2025 | 497,449.00 |
| Mar 31, 2025 | 425,638.00 |
| Dec 31, 2024 | 352,468.00 |
| Sep 30, 2024 | 301,894.00 |
| Jun 30, 2024 | 238,381.00 |
| Mar 31, 2024 | 182,936.00 |
| Dec 31, 2023 | 132,685.00 |
| Sep 30, 2023 | 104,318.00 |
| Jun 30, 2023 | 77,202.00 |
| Mar 31, 2023 | 59,066.00 |
| Dec 31, 2022 | 47,737.00 |
| Sep 30, 2022 | 45,864.00 |
| Jun 30, 2022 | 41,202.00 |
| Mar 31, 2022 | 32,841.00 |
| Dec 31, 2021 | 26,420.00 |
| Sep 30, 2021 | 21,230.00 |
API Access
Cyberloq Technologies Accumulated Expenses 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=accumulated-expenses&ticker=CLOQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();