Kinetic Seas (KSEZ) Accumulated Expenses (2021 - 2026)
Kinetic Seas' Accumulated Expenses was $21,104 in Q2 2026, down 88.4% from $181,431 a year earlier but up 67.2% from the prior quarter.
Analysis
Kinetic Seas (KSEZ) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Kinetic Seas came in at $31,361, down 97.9% from FY2024.
- Accumulated Expenses shows a four-year compound annual growth rate of -3.8% (FY2021 to FY2025).
- In earlier years, Accumulated Expenses was $1.49 million in FY2024, $44,584 in FY2023 (-19.2%), $55,160 in FY2022 (+50.4%) and $36,682 in FY2021.
- Quarterly Accumulated Expenses has moved between $4,606 (Q2 2024) and $1.49 million (Q4 2024) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for three straight quarters, with growth averaging 79.9% over the last six quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2025 (growth of 738.2%); the worst was Q4 2025 (a decline of 97.9%).
- Per Business Quant data, KSEZ's Accumulated Expenses in the three quarters before Q2 2026 was $12,623 (Q1 2026), $31,361 (Q4 2025) and $67,539 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | Kinetic Seas | 906,655.54 | 693,221.54 | 519,750.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21,104.00 |
| Mar 31, 2026 | 12,623.00 |
| Dec 31, 2025 | 31,361.00 |
| Sep 30, 2025 | 67,539.00 |
| Jun 30, 2025 | 181,431.00 |
| Mar 31, 2025 | 442,958.00 |
| Dec 31, 2024 | 1.49 Mn |
| Sep 30, 2024 | 38,367.00 |
| Jun 30, 2024 | 4,606.00 |
| Mar 31, 2024 | 52,846.00 |
| Dec 31, 2023 | 44,584.00 |
| Sep 30, 2023 | 78,927.00 |
| Jun 30, 2023 | 68,246.00 |
| Mar 31, 2023 | 59,756.00 |
| Dec 31, 2022 | 55,160.00 |
| Sep 30, 2022 | 46,330.00 |
| Dec 31, 2021 | 36,682.00 |
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();