Cyberloq Technologies (CLOQ) Other Accumulated Expenses (2020 - 2026)
Cyberloq Technologies (CLOQ) posted Other Accumulated Expenses of $815,541 for Q2 2026, up 63.9% from $497,449 a year earlier and up 13.5% from the prior quarter.
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Analysis
Cyberloq Technologies (CLOQ) Other Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Cyberloq Technologies' Other Accumulated Expenses came in at $629,690, up 78.7% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 157.9% (FY2020 to FY2025).
- In prior years, Cyberloq Technologies' Other Accumulated Expenses was $352,468 in FY2024 (+135.0%), $150,000 in FY2023 (unchanged), $150,000 in FY2022 (+467.8%) and $26,420 in FY2021 (+378.3%).
- The Q2 2026 figure stands as the highest quarterly Other Accumulated Expenses in data going back to Q3 2020.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last ten quarters, with growth averaging 97.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Accumulated Expenses ranged from 0.0% (Q4 2023) to 467.8% (Q4 2022).
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $718,414 (Q1 2026), $629,690 (Q4 2025) and $584,246 (Q3 2025).
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 |
|---|---|
| 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 | 150,000.00 |
| Sep 30, 2023 | 150,000.00 |
| Jun 30, 2023 | 150,000.00 |
| Mar 31, 2023 | 150,000.00 |
| Dec 31, 2022 | 150,000.00 |
| Sep 30, 2022 | 45,864.00 |
| Jun 30, 2022 | 39,016.00 |
| Mar 31, 2022 | 32,841.00 |
| Dec 31, 2021 | 26,420.00 |
| Sep 30, 2021 | 21,230.00 |
API Access
Cyberloq Technologies Other 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=other-accumulated-expenses&ticker=CLOQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();