Kinetic Seas (KSEZ) Accumulated Expenses (2021 - 2025)
Kinetic Seas' Accumulated Expenses was $540.00 in Q4 2025, down 100.0% from $1.48 million a year earlier but up 22.2% from the prior quarter.
Analysis
Kinetic Seas (KSEZ) Accumulated Expenses (2021 - 2025) Analysis & Trends
From Q4 2021 onward, Kinetic Seas has reported Accumulated Expenses for 15 quarters.
- Accumulated Expenses shows a four-year compound annual growth rate of -64.4% (FY2021 to FY2025).
- In earlier years, Accumulated Expenses was $1.48 million in FY2024, $33,486 in FY2023 (unchanged), $33,486 in FY2022 (unchanged) and $33,486 in FY2021.
- Quarterly Accumulated Expenses has moved between $442.00 (Q3 2025) and $1.48 million (Q4 2024) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for three straight quarters, with growth averaging 188.7% over the last seven quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2025 (growth of 918.7%); the worst was Q4 2025 (a decline of 100.0%).
- Per Business Quant data, KSEZ's Accumulated Expenses in the three quarters before Q4 2025 was $442.00 (Q3 2025), $139,459 (Q2 2025) and $420,986 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn |
| 10 | Kinetic Seas | 1.82 Mn | 1.82 Mn | 519,750.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 540.00 |
| Sep 30, 2025 | 442.00 |
| Jun 30, 2025 | 139,459.00 |
| Mar 31, 2025 | 420,986.00 |
| Dec 31, 2024 | 1.48 Mn |
| Sep 30, 2024 | 33,486.00 |
| Jun 30, 2024 | 240,986.00 |
| Mar 31, 2024 | 41,327.00 |
| Dec 31, 2023 | 33,486.00 |
| Sep 30, 2023 | 33,486.00 |
| Jun 30, 2023 | 33,486.00 |
| Mar 31, 2023 | 33,486.00 |
| Dec 31, 2022 | 33,486.00 |
| Sep 30, 2022 | 33,486.00 |
| Dec 31, 2021 | 33,486.00 |
API Access
Kinetic Seas Accumulated Expenses 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=accumulated-expenses&ticker=KSEZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=KSEZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();