Kinetic Seas (KSEZ) EV to EBITDA (2026)
Kinetic Seas' (KSEZ) EV to EBITDA was 5.00 for Q2 2026.
Analysis
Kinetic Seas (KSEZ) EV to EBITDA (2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Kinetic Seas' EV to EBITDA came in at 4.56.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn |
| 10 | Kinetic Seas | 1.82 Mn | 1.82 Mn | 519,750.00 |
API Access
Kinetic Seas EV to 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=ev-to-ebitda&ticker=KSEZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=KSEZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();