Cyberloq Technologies (CLOQ) Total Non-Current Liabilities (2021 - 2026)
Cyberloq Technologies' Total Non-Current Liabilities was $30,362 in Q2 2026, unchanged from $30,362 a year earlier and unchanged from the prior quarter.
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Analysis
Cyberloq Technologies (CLOQ) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
From Q4 2021 onward, Cyberloq Technologies has reported Total Non-Current Liabilities for 19 quarters.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of -3.2% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $30,362 in FY2024 (unchanged), $30,362 in FY2023 (unchanged), $30,362 in FY2022 (-12.1%) and $34,550 in FY2021.
- Quarterly Total Non-Current Liabilities has moved between $30,362 (Q4 2022) and $270,795 (Q1 2022) over five years.
- Across the past five years, year-over-year decline in Total Non-Current Liabilities ran from 0.0% in Q2 2026 to 88.8% in Q1 2023.
- Per Business Quant data, CLOQ's Total Non-Current Liabilities in the three quarters before Q2 2026 was $30,362 (Q1 2026), $30,362 (Q4 2025) and $30,362 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Cyberloq Technologies | 21.20 Mn | 20.77 Mn | - | 30,362.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30,362.00 |
| Mar 31, 2026 | 30,362.00 |
| Dec 31, 2025 | 30,362.00 |
| Sep 30, 2025 | 30,362.00 |
| Jun 30, 2025 | 30,362.00 |
| Mar 31, 2025 | 30,362.00 |
| Dec 31, 2024 | 30,362.00 |
| Sep 30, 2024 | 30,362.00 |
| Jun 30, 2024 | 30,362.00 |
| Mar 31, 2024 | 30,362.00 |
| Dec 31, 2023 | 30,362.00 |
| Sep 30, 2023 | 30,362.00 |
| Jun 30, 2023 | 30,362.00 |
| Mar 31, 2023 | 30,362.00 |
| Dec 31, 2022 | 30,362.00 |
| Sep 30, 2022 | 130,887.00 |
| Jun 30, 2022 | 244,570.00 |
| Mar 31, 2022 | 270,795.00 |
| Dec 31, 2021 | 34,550.00 |
API Access
Cyberloq Technologies Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CLOQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();