Kinetic Seas (KSEZ) Total Current Liabilities (2021 - 2026)
Kinetic Seas (KSEZ) reported Total Current Liabilities of $2.75 million for Q2 2026, up 116.6% from $1.27 million a year earlier but down 1.7% from the prior quarter.
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Analysis
Kinetic Seas (KSEZ) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Kinetic Seas posted Total Current Liabilities of $2.89 million, up 33.5% from FY2024.
- Total Current Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 156.5% (FY2021 to FY2025).
- By year, Total Current Liabilities came in at $2.16 million in FY2024 (+854.4%), $226,584 in FY2023 (+43.8%), $157,526 in FY2022 (+136.2%) and $66,681 in FY2021.
- Five-year quarterly Total Current Liabilities spans a low of $66,681 in Q4 2021 and a high of $2.89 million in Q4 2025.
- Year over year, Total Current Liabilities has now increased in each of the last 12 quarters, with growth averaging 234.3% over the last eight quarters.
- The year-over-year growth in Total Current Liabilities has ranged between 33.5% (Q4 2025) and 854.4% (Q4 2024) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.8 million (Q1 2026), $2.89 million (Q4 2025) and $966,812 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 2.03 Bn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 1.40 Bn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 13.13 Bn |
| 10 | Kinetic Seas | 1.82 Mn | 1.82 Mn | 519,750.00 | 2.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.75 Mn |
| Mar 31, 2026 | 2.80 Mn |
| Dec 31, 2025 | 2.89 Mn |
| Sep 30, 2025 | 966,812.00 |
| Jun 30, 2025 | 1.27 Mn |
| Mar 31, 2025 | 1.30 Mn |
| Dec 31, 2024 | 2.16 Mn |
| Sep 30, 2024 | 487,207.00 |
| Jun 30, 2024 | 578,502.00 |
| Mar 31, 2024 | 250,034.00 |
| Dec 31, 2023 | 226,584.00 |
| Sep 30, 2023 | 226,127.00 |
| Jun 30, 2023 | 199,278.00 |
| Mar 31, 2023 | 176,827.00 |
| Dec 31, 2022 | 157,526.00 |
| Sep 30, 2022 | 136,330.00 |
| Dec 31, 2021 | 66,681.00 |
API Access
Kinetic Seas Total Current Liabilities 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=total-current-liabilities&ticker=KSEZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=KSEZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();