Cyberloq Technologies (CLOQ) Shares Outstanding (2011 - 2026)
Cyberloq Technologies' Shares Outstanding was 141.33 million in Q2 2026, up 7.1% from 131.96 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Cyberloq Technologies (CLOQ) Shares Outstanding (2011 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Cyberloq Technologies came in at 132.82 million, up 5.5% from FY2024.
- Shares Outstanding has now increased for 14 consecutive years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 125.94 million in FY2024 (+4.1%), 121.04 million in FY2023 (+22.7%), 98.65 million in FY2022 (+25.8%) and 78.43 million in FY2021 (+9.3%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding in data going back to Q1 2011.
- Compared with a year earlier, Shares Outstanding has increased for 43 straight quarters, with growth averaging 5.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 2.3% (Q3 2021) to 39.6% (Q2 2023).
- Per Business Quant data, CLOQ's Shares Outstanding in the three quarters before Q2 2026 was 141.01 million (Q1 2026), 132.82 million (Q4 2025) and 132.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 749.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 733.10 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 356.25 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 174.30 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 80.57 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 34.38 Mn |
| 10 | Cyberloq Technologies | 21.20 Mn | 20.77 Mn | - | 141.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 141.33 Mn |
| Mar 31, 2026 | 141.01 Mn |
| Dec 31, 2025 | 132.82 Mn |
| Sep 30, 2025 | 132.80 Mn |
| Jun 30, 2025 | 131.96 Mn |
| Mar 31, 2025 | 131.53 Mn |
| Dec 31, 2024 | 125.94 Mn |
| Sep 30, 2024 | 125.64 Mn |
| Jun 30, 2024 | 125.54 Mn |
| Mar 31, 2024 | 125.44 Mn |
| Dec 31, 2023 | 121.04 Mn |
| Sep 30, 2023 | 121.07 Mn |
| Jun 30, 2023 | 120.77 Mn |
| Mar 31, 2023 | 119.82 Mn |
| Dec 31, 2022 | 98.65 Mn |
| Sep 30, 2022 | 104.64 Mn |
| Jun 30, 2022 | 86.54 Mn |
| Mar 31, 2022 | 86.54 Mn |
| Dec 31, 2021 | 78.43 Mn |
| Sep 30, 2021 | 75.59 Mn |
API Access
Cyberloq Technologies Shares Outstanding 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=shares-outstanding&ticker=CLOQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=CLOQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();