Cyberloq Technologies (CLOQ) Assets (2011 - 2026)
Cyberloq Technologies' Assets was $2.61 million in Q2 2026, up 30.2% from $2.01 million a year earlier and up 7.8% from the prior quarter.
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Analysis
Cyberloq Technologies (CLOQ) Assets (2011 - 2026) Analysis & Trends
At the end of FY2025, Assets at Cyberloq Technologies came in at $2.53 million, up 37.0% from FY2024.
- Assets has now increased for five consecutive years, with a five-year compound annual growth rate of 147.0% (FY2020 to FY2025).
- In earlier years, Assets was $1.84 million in FY2024 (+26.3%), $1.46 million in FY2023 (+327.6%), $341,118 in FY2022 (+29.0%) and $264,503 in FY2021 (+863.9%).
- The Q2 2026 figure marks the highest quarterly Assets in data going back to Q4 2011.
- Compared with a year earlier, Assets has increased for 15 straight quarters, with growth averaging 38.0% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was Q4 2021 (growth of 863.9%); the worst was Q2 2022 (a decline of 69.9%).
- Per Business Quant data, CLOQ's Assets in the three quarters before Q2 2026 was $2.42 million (Q1 2026), $2.53 million (Q4 2025) and $2.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 48.46 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 12.03 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 10.86 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 8.69 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 7.55 Bn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 9.14 Bn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 7.48 Bn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 7.87 Bn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 3.78 Bn |
| 10 | Cyberloq Technologies | 18.37 Mn | 17.95 Mn | - | 2.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.61 Mn |
| Mar 31, 2026 | 2.42 Mn |
| Dec 31, 2025 | 2.53 Mn |
| Sep 30, 2025 | 2.17 Mn |
| Jun 30, 2025 | 2.01 Mn |
| Mar 31, 2025 | 1.80 Mn |
| Dec 31, 2024 | 1.84 Mn |
| Sep 30, 2024 | 1.67 Mn |
| Jun 30, 2024 | 1.50 Mn |
| Mar 31, 2024 | 1.41 Mn |
| Dec 31, 2023 | 1.46 Mn |
| Sep 30, 2023 | 905,391.00 |
| Jun 30, 2023 | 692,687.00 |
| Mar 31, 2023 | 502,452.00 |
| Dec 31, 2022 | 341,118.00 |
| Sep 30, 2022 | 311,946.00 |
| Jun 30, 2022 | 173,205.00 |
| Mar 31, 2022 | 301,286.00 |
| Dec 31, 2021 | 264,503.00 |
| Sep 30, 2021 | 346,201.00 |
API Access
Cyberloq Technologies Assets 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=assets&ticker=CLOQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();