Kinetic Seas (KSEZ) Non Operating Interest Expenses (2021 - 2026)
Kinetic Seas' Non Operating Interest Expenses was $23,585 in Q2 2026, down 42.1% from $40,757 a year earlier and down 56.1% from the prior quarter.
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Analysis
Kinetic Seas (KSEZ) Non Operating Interest Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Kinetic Seas' Non Operating Interest Expenses was $116,785 through Jun 30, 2026, down 35.7% year-over-year; for FY2025, it came in at $110,502, down 14.9% from FY2024.
- Non Operating Interest Expenses shows a four-year compound annual growth rate of 198.4% (FY2021 to FY2025).
- In earlier years, Non Operating Interest Expenses was $129,916 in FY2024 (+229.5%), $39,424 in FY2023 (+113.4%), $18,478 in FY2022 and $1,393 in FY2021.
- Quarterly Non Operating Interest Expenses has moved between -$8,319 (Q4 2025) and $100,519 (Q4 2024) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in five of the last seven quarters, with growth averaging 240.9%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2025 (growth of 564.8%); the worst was Q2 2026 (a decline of 42.1%).
- Per Business Quant data, KSEZ's Non Operating Interest Expenses in the three quarters before Q2 2026 was $53,702 (Q1 2026), -$8,319 (Q4 2025) and $47,817 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 6.05 Mn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 28.10 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | -90.00 Mn |
| 10 | Kinetic Seas | 1.82 Mn | 1.82 Mn | 519,750.00 | 23,585.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23,585.00 |
| Mar 31, 2026 | 53,702.00 |
| Dec 31, 2025 | -8,319.00 |
| Sep 30, 2025 | 47,817.00 |
| Jun 30, 2025 | 40,757.00 |
| Mar 31, 2025 | 30,247.00 |
| Dec 31, 2024 | 100,519.00 |
| Sep 30, 2024 | 10,125.00 |
| Jun 30, 2024 | 14,723.00 |
| Mar 31, 2024 | 4,550.00 |
| Dec 31, 2023 | 15,657.00 |
| Sep 30, 2023 | 10,681.00 |
| Jun 30, 2023 | 8,490.00 |
| Mar 31, 2023 | 4,596.00 |
| Dec 31, 2022 | 8,829.00 |
| Sep 30, 2022 | 4,037.00 |
| Jun 30, 2022 | 3,364.00 |
| Mar 31, 2022 | 2,248.00 |
| Sep 30, 2021 | 1,393.00 |
API Access
Kinetic Seas Non Operating Interest 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=non-operating-interest-expenses&ticker=KSEZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=KSEZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();