Cyberloq Technologies (CLOQ) Long-Term Debt Repayments (2018 - 2026)
Cyberloq Technologies (CLOQ) recorded Long-Term Debt Repayments of $100,000 in Q1 2026.
Analysis
Cyberloq Technologies (CLOQ) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
For FY2025, Cyberloq Technologies reported Long-Term Debt Repayments of $80,000.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 17.0% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $2,100 in FY2022 (-84.5%) and $13,550 in FY2021 (-62.9%).
- The Q1 2026 figure is the highest quarterly Long-Term Debt Repayments since Q3 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 160.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | - |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | - |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | - |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | - |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | - |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | - |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 1.79 Mn |
| 10 | Cyberloq Technologies | 21.20 Mn | 20.77 Mn | - | 26,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26,000.00 |
| Mar 31, 2026 | 100,000.00 |
| Dec 31, 2022 | 525.00 |
| Sep 30, 2022 | 350.00 |
| Jun 30, 2022 | 525.00 |
| Mar 31, 2022 | 700.00 |
| Dec 31, 2021 | 12,850.00 |
| Jun 30, 2020 | 6,500.00 |
| Mar 31, 2020 | 30,000.00 |
| Sep 30, 2018 | 125,000.00 |
| Mar 31, 2018 | 25,000.00 |
API Access
Cyberloq Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CLOQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();