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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Cyberloq Technologies | 21.20 Mn | 20.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26,966.00 |
| Mar 31, 2026 | 80,932.00 |
| Dec 31, 2025 | 50,641.00 |
| Sep 30, 2025 | 51,388.00 |
| Jun 30, 2025 | 62,014.00 |
| Mar 31, 2025 | 51,552.00 |
| Dec 31, 2024 | 71,018.00 |
| Sep 30, 2024 | 60,162.00 |
| Jun 30, 2024 | 53,550.00 |
| Mar 31, 2024 | 114,774.00 |
| Dec 31, 2023 | 17,289.00 |
| Sep 30, 2023 | 17,181.00 |
| Jun 30, 2023 | 18,489.00 |
| Mar 31, 2023 | 33,819.00 |
| Dec 31, 2022 | 49,914.00 |
| Sep 30, 2022 | 34,192.00 |
| Jun 30, 2022 | 133,643.00 |
| Mar 31, 2022 | 206,754.00 |
| Dec 31, 2021 | 183,627.00 |
| Sep 30, 2021 | 153,511.00 |
API Access
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_KEYimport 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();