Cyberloq Technologies (CLOQ) Times Interest Earned (2012 - 2026)
Cyberloq Technologies' (CLOQ) Times Interest Earned came in at -1.06 for Q2 2026, compared with -2.05 a year earlier.
Cyberloq Technologies (CLOQ) Times Interest Earned (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Times Interest Earned at Cyberloq Technologies was -3.16; for FY2021, it came in at -50.75.
- In prior years, Cyberloq Technologies' Times Interest Earned was -155.82 in FY2020, -4964.52 in FY2019, -1605.97 in FY2018 and -10.75 in FY2017.
- The Q2 2026 figure stands as the highest quarterly Times Interest Earned in data going back to Q4 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | -5.50 |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | -126.37 |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 234.77 |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 23.09 |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | -5.64 |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 5.63 |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 1.66 |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 30.74 |
| 10 | Cyberloq Technologies | 21.20 Mn | 20.77 Mn | - | -1.06 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.06 |
| Jun 30, 2025 | -2.05 |
| Mar 31, 2022 | -30.93 |
| Dec 31, 2021 | -94.81 |
| Sep 30, 2021 | -52.45 |
| Jun 30, 2021 | -37.82 |
| Mar 31, 2021 | -18.04 |
| Dec 31, 2020 | -99.99 |
| Sep 30, 2020 | -170.64 |
| Dec 31, 2019 | -15,627.50 |
| Sep 30, 2019 | -7,680.33 |
| Jun 30, 2019 | -7,126.33 |
| Mar 31, 2019 | -1,681.15 |
| Dec 31, 2018 | -2,274.96 |
| Sep 30, 2018 | -2,005.88 |
| Jun 30, 2018 | -501.80 |
| Dec 31, 2017 | -15.63 |
| Sep 30, 2017 | -10.84 |
| Jun 30, 2017 | -5.29 |
| Mar 31, 2017 | -5.29 |
Cyberloq Technologies Times Interest Earned 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=times-interest-earned&ticker=CLOQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();