Kinetic Seas (KSEZ) EBITDA (2023 - 2026)
Kinetic Seas' EBITDA came in at $292,212 for Q2 2026, compared with -$968,563 a year earlier and up 48.3% from the prior quarter.
Powered by 
Analysis
Kinetic Seas (KSEZ) EBITDA (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Kinetic Seas reported EBITDA of $477,169; for FY2025, it came in at -$1.15 million.
- Going back by year, EBITDA was -$3.74 million in FY2024, -$121,353 in FY2023 and -$75,653 in FY2022.
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q1 2023.
- Business Quant data shows KSEZ's EBITDA at $197,036 (Q1 2026), $136,756 (Q4 2025) and -$148,835 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 693.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 170.34 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | -134.60 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 843.00 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 119.30 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 93.76 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 166.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 79.24 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 35.33 Mn |
| 10 | Kinetic Seas | 906,655.54 | 693,221.54 | 519,750.00 | 292,212.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 292,212.00 |
| Mar 31, 2026 | 197,036.00 |
| Dec 31, 2025 | 136,756.00 |
| Sep 30, 2025 | -148,835.00 |
| Jun 30, 2025 | -968,563.00 |
| Mar 31, 2025 | -184,185.00 |
| Dec 31, 2024 | -2.08 Mn |
| Sep 30, 2024 | -1.04 Mn |
| Jun 30, 2024 | -434,604.00 |
| Mar 31, 2024 | -191,046.00 |
| Dec 31, 2023 | -79,076.00 |
| Sep 30, 2023 | -17,345.00 |
| Jun 30, 2023 | -22,205.00 |
| Mar 31, 2023 | -2,726.00 |
API Access
Kinetic Seas EBITDA 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=ebitda&ticker=KSEZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=KSEZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();