Cyberloq Technologies (CLOQ) Other Operating Expenses (2011 - 2026)
Cyberloq Technologies' Other Operating Expenses came in at $26,966 for Q2 2026, down 56.5% from $62,014 a year earlier and down 66.7% from the prior quarter.
Cyberloq Technologies (CLOQ) Other Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cyberloq Technologies reported Other Operating Expenses of $209,927, down 14.2% year-over-year; for FY2025, it was $215,370, down 28.1% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 30.7% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $299,504 in FY2024 (+245.1%), $86,778 in FY2023 (-79.6%), $424,503 in FY2022 (-9.4%) and $468,449 in FY2021 (+729.4%).
- The Q2 2026 figure represents the lowest quarterly Other Operating Expenses since Q4 2023.
- Year-over-year, Other Operating Expenses increased in four of the last eight quarters, with growth averaging 59.9%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q3 2021 (growth of 937.6%), and the weakest in Q2 2023 (a decline of 86.2%).
- Business Quant data shows CLOQ's Other Operating Expenses at $80,932 (Q1 2026), $50,641 (Q4 2025) and $51,388 (Q3 2025) in the three quarters before Q2 2026.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 7,390.00 |
| Mar 31, 2026 | 5,830.00 |
| Dec 31, 2025 | 37,520.00 |
| Sep 30, 2025 | 13,272.00 |
| Jun 30, 2025 | 5,373.00 |
| Mar 31, 2025 | 12,943.00 |
| Dec 31, 2024 | 4,092.00 |
| Sep 30, 2024 | 3,062.00 |
| Jun 30, 2024 | 29,208.00 |
| Mar 31, 2024 | 23,100.00 |
| Dec 31, 2023 | 5,850.00 |
| Sep 30, 2023 | 1,353.00 |
| Jun 30, 2023 | 18,516.00 |
| Mar 31, 2023 | 11,897.00 |
| Dec 31, 2022 | 957.00 |
| Sep 30, 2022 | 9,852.00 |
| Jun 30, 2022 | 1,692.00 |
| Mar 31, 2022 | 1,243.00 |
| Dec 31, 2021 | 4,235.00 |
| Sep 30, 2021 | 3,064.00 |
Cyberloq Technologies Other Operating 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=other-operating-expenses&ticker=CLOQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();