Kinetic Seas (KSEZ) Shares Outstanding (Diluted) (2021 - 2026)
Kinetic Seas (KSEZ) posted Weighted Average Shares Outstanding (Diluted) of 60.44 million for Q2 2026, up 31.3% from 46.05 million a year earlier and up 10.5% from the prior quarter.
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Kinetic Seas (KSEZ) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Kinetic Seas' Weighted Average Shares Outstanding (Diluted) came in at 24.52 million, up 13.4% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) shows a four-year compound annual growth rate of -35.4% (FY2021 to FY2025).
- In prior years, Kinetic Seas' Weighted Average Shares Outstanding (Diluted) 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 stands as the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q1 2023.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased in each of the last nine quarters, with growth averaging 158.0% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding (Diluted) in the past five years was Q2 2024, with growth of 691.0%; the weakest was Q3 2023, with a decline of 97.8%.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 54.68 million (Q1 2026), 24.52 million (Q4 2025) and 49.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 349.26 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 742.60 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 375.01 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 160.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 178.81 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 82.54 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 82.00 Mn |
| 10 | Kinetic Seas | 906,655.54 | 693,221.54 | 519,750.00 | 60.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.44 Mn |
| Mar 31, 2026 | 54.68 Mn |
| Dec 31, 2025 | 24.52 Mn |
| Sep 30, 2025 | 49.57 Mn |
| Jun 30, 2025 | 46.05 Mn |
| Mar 31, 2025 | 30.44 Mn |
| Dec 31, 2024 | 21.63 Mn |
| Sep 30, 2024 | 16.86 Mn |
| Jun 30, 2024 | 24.09 Mn |
| Mar 31, 2024 | 29.15 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 (Diluted) 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-diluted&ticker=KSEZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=KSEZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();