Kinetic Seas (KSEZ) Shares Outstanding (Entity) (2021 - 2026)
Kinetic Seas' Shares Outstanding (Entity) was 60.75 million in Q2 2026, up 24.4% from 48.83 million a year earlier and up 6.3% from the prior quarter.
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Analysis
Kinetic Seas (KSEZ) Shares Outstanding (Entity) (2021 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Entity) at Kinetic Seas came in at 24.52 million, up 13.4% from FY2024.
- Shares Outstanding (Entity) shows a four-year compound annual growth rate of -35.4% (FY2021 to FY2025).
- In earlier years, Shares Outstanding (Entity) was 21.63 million in FY2024 (+396.9%), 4.35 million in FY2023 (-96.9%), 140.79 million in FY2022 (unchanged) and 140.79 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Entity) since Q1 2023.
- Compared with a year earlier, Shares Outstanding (Entity) has increased for five straight quarters, with growth averaging 160.3% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Entity) over five years was Q2 2024 (growth of 691.0%); the worst was Q3 2023 (a decline of 97.8%).
- Per Business Quant data, KSEZ's Shares Outstanding (Entity) in the three quarters before Q2 2026 was 57.15 million (Q1 2026), 24.52 million (Q4 2025) and 51.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 815.00 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 | 733.60 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 352.46 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 358.96 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 167.14 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 81.24 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 163.06 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | Kinetic Seas | 1.82 Mn | 1.82 Mn | 519,750.00 | 60.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.75 Mn |
| Mar 31, 2026 | 57.15 Mn |
| Dec 31, 2025 | 24.52 Mn |
| Sep 30, 2025 | 51.44 Mn |
| Jun 30, 2025 | 48.83 Mn |
| Mar 31, 2025 | 30.44 Mn |
| Dec 31, 2024 | 21.63 Mn |
| Sep 30, 2024 | 17.03 Mn |
| Jun 30, 2024 | 24.09 Mn |
| Mar 31, 2024 | 31.65 Mn |
| Dec 31, 2023 | 4.35 Mn |
| Sep 30, 2023 | 3.05 Mn |
| Jun 30, 2023 | 3.05 Mn |
| Mar 31, 2023 | 140.79 Mn |
| Dec 31, 2022 | 140.79 Mn |
| Sep 30, 2022 | 140.79 Mn |
| Jun 30, 2022 | 3.05 Mn |
| Mar 31, 2022 | 140.79 Mn |
| Dec 31, 2021 | 140.79 Mn |
| Sep 30, 2021 | 140.79 Mn |
API Access
Kinetic Seas Shares Outstanding (Entity) 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-entity&ticker=KSEZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "KSEZ", "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-entity&ticker=KSEZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();