Cyberloq Technologies (CLOQ) Total Current Liabilities (2012 - 2026)
Cyberloq Technologies' Total Current Liabilities was $4.6 million in Q2 2026, up 38.5% from $3.32 million a year earlier and up 9.5% from the prior quarter.
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Analysis
Cyberloq Technologies (CLOQ) Total Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Cyberloq Technologies came in at $4.16 million, up 48.5% from FY2024.
- Total Current Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 69.0% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $2.8 million in FY2024 (+182.6%), $990,997 in FY2023 (+237.3%), $293,770 in FY2022 (+10.9%) and $264,980 in FY2021 (-12.2%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q3 2012.
- Compared with a year earlier, Total Current Liabilities has increased for 12 straight quarters, with growth averaging 102.9% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2024 (growth of 367.1%); the worst was Q1 2023 (a decline of 47.8%).
- Per Business Quant data, CLOQ's Total Current Liabilities in the three quarters before Q2 2026 was $4.21 million (Q1 2026), $4.16 million (Q4 2025) and $3.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 13.13 Bn |
| 10 | Cyberloq Technologies | 25.44 Mn | 25.01 Mn | - | 4.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.60 Mn |
| Mar 31, 2026 | 4.21 Mn |
| Dec 31, 2025 | 4.16 Mn |
| Sep 30, 2025 | 3.73 Mn |
| Jun 30, 2025 | 3.32 Mn |
| Mar 31, 2025 | 2.89 Mn |
| Dec 31, 2024 | 2.80 Mn |
| Sep 30, 2024 | 2.46 Mn |
| Jun 30, 2024 | 2.10 Mn |
| Mar 31, 2024 | 1.29 Mn |
| Dec 31, 2023 | 990,997.00 |
| Sep 30, 2023 | 659,230.00 |
| Jun 30, 2023 | 448,829.00 |
| Mar 31, 2023 | 345,117.00 |
| Dec 31, 2022 | 293,770.00 |
| Sep 30, 2022 | 222,991.00 |
| Jun 30, 2022 | 614,738.00 |
| Mar 31, 2022 | 660,949.00 |
| Dec 31, 2021 | 264,980.00 |
| Sep 30, 2021 | 287,148.00 |
API Access
Cyberloq Technologies Total 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-current-liabilities&ticker=CLOQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();