Cyberloq Technologies (CLOQ) Non-Current Assets (2017 - 2026)
Cyberloq Technologies' Non-Current Assets was $2.52 million in Q2 2026, up 34.4% from $1.87 million a year earlier and up 5.8% from the prior quarter.
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Analysis
Cyberloq Technologies (CLOQ) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Cyberloq Technologies came in at $2.23 million, up 43.5% from FY2024.
- Non-Current Assets has now increased for three consecutive years, with a three-year compound annual growth rate of 98.9% (FY2022 to FY2025).
- In earlier years, Non-Current Assets was $1.55 million in FY2024 (+41.6%), $1.1 million in FY2023 (+287.2%) and $283,240 in FY2022.
- The Q2 2026 figure marks the highest quarterly Non-Current Assets in data going back to Q3 2017.
- Compared with a year earlier, Non-Current Assets has increased for 14 straight quarters, with growth averaging 44.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Non-Current Assets ran from 34.4% in Q2 2026 to 331.8% in Q2 2023.
- Per Business Quant data, CLOQ's Non-Current Assets in the three quarters before Q2 2026 was $2.38 million (Q1 2026), $2.23 million (Q4 2025) and $2.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 5.20 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 4.83 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 1.61 Bn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 2.84 Bn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 6.05 Bn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 4.48 Bn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 651.70 Mn |
| 10 | Cyberloq Technologies | 21.20 Mn | 20.77 Mn | - | 2.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.52 Mn |
| Mar 31, 2026 | 2.38 Mn |
| Dec 31, 2025 | 2.23 Mn |
| Sep 30, 2025 | 2.03 Mn |
| Jun 30, 2025 | 1.87 Mn |
| Mar 31, 2025 | 1.71 Mn |
| Dec 31, 2024 | 1.55 Mn |
| Sep 30, 2024 | 1.43 Mn |
| Jun 30, 2024 | 1.31 Mn |
| Mar 31, 2024 | 1.19 Mn |
| Dec 31, 2023 | 1.10 Mn |
| Sep 30, 2023 | 838,217.00 |
| Jun 30, 2023 | 589,931.00 |
| Mar 31, 2023 | 451,940.00 |
| Dec 31, 2022 | 283,240.00 |
| Sep 30, 2022 | 211,760.00 |
| Jun 30, 2022 | 136,610.00 |
| Mar 31, 2022 | 109,885.00 |
| Sep 30, 2020 | 352,404.00 |
| Jun 30, 2020 | 383,742.00 |
API Access
Cyberloq Technologies Non-Current 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=non-current-assets&ticker=CLOQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();