Cyberloq Technologies (CLOQ) Change in Accrued Expenses (2012 - 2026)
Cyberloq Technologies (CLOQ) recorded Change in Accured Expenses of $97,127 in Q2 2026, up 35.3% from $71,811 a year earlier and up 9.5% from the prior quarter.
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Analysis
Cyberloq Technologies (CLOQ) Change in Accrued Expenses (2012 - 2026) Analysis & Trends
On a TTM basis, Cyberloq Technologies' Change in Accured Expenses came in at $318,092 as of Jun 30, 2026, up 22.8% year-over-year; for FY2025, it came in at $277,222, up 26.1% from FY2024.
- Annual Change in Accured Expenses has increased for three straight years, with a five-year compound annual growth rate of 43.2% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at $219,783 in FY2024 (+158.7%), $84,948 in FY2023 (+200.3%), $28,288 in FY2022 and -$62,780 in FY2021.
- The Q2 2026 figure is the highest quarterly Change in Accured Expenses since Q3 2015.
- On a year-over-year basis, Change in Accured Expenses rose in six of the last eight quarters, with growth averaging 26.1%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 326.1% in Q4 2023, against a decline of 28.0% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $88,724 (Q1 2026), $45,444 (Q4 2025) and $86,797 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 238.67 Bn | 223.74 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 224.98 Bn | 205.38 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Snowflake | 100.79 Bn | 88.11 Bn | 1.04 Bn | 108.85 Mn |
| 4 | Fortinet | 89.89 Bn | 74.15 Bn | 1.64 Bn | -14.80 Mn |
| 5 | Datadog | 64.71 Bn | 45.26 Bn | 959.92 Mn | -3.63 Mn |
| 6 | Zscaler | 32.05 Bn | 18.20 Bn | 689.22 Mn | 26.42 Mn |
| 7 | Okta | 30.31 Bn | 20.40 Bn | 641.00 Mn | 38.00 Mn |
| 8 | MongoDB | 26.10 Bn | 16.57 Bn | 569.77 Mn | 43.09 Mn |
| 9 | Axon Enterprise | 24.84 Bn | 19.36 Bn | 546.45 Mn | 256.58 Mn |
| 10 | Cyberloq Technologies | 21.20 Mn | 20.77 Mn | - | 97,127.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97,127.00 |
| Mar 31, 2026 | 88,724.00 |
| Dec 31, 2025 | 45,444.00 |
| Sep 30, 2025 | 86,797.00 |
| Jun 30, 2025 | 71,811.00 |
| Mar 31, 2025 | 73,170.00 |
| Dec 31, 2024 | 50,574.00 |
| Sep 30, 2024 | 63,513.00 |
| Jun 30, 2024 | 55,445.00 |
| Mar 31, 2024 | 50,251.00 |
| Dec 31, 2023 | 28,367.00 |
| Sep 30, 2023 | 88,238.00 |
| Jun 30, 2023 | -16,373.00 |
| Mar 31, 2023 | -15,284.00 |
| Dec 31, 2022 | 6,657.00 |
| Sep 30, 2022 | 6,849.00 |
| Jun 30, 2022 | -3,615.00 |
| Mar 31, 2022 | 18,397.00 |
| Dec 31, 2021 | -14,856.00 |
| Sep 30, 2021 | -15,594.00 |
API Access
Cyberloq Technologies Change in Accrued 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=change-in-accured-expenses&ticker=CLOQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();