Kinetic Seas (KSEZ) Selling, General & Administrative (2021 - 2026)
Kinetic Seas (KSEZ) reported Selling, General & Administrative of $148,565 for Q2 2026, up 66.3% from $89,320 a year earlier but down 29.5% from the prior quarter.
Kinetic Seas (KSEZ) Selling, General & Administrative (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Kinetic Seas' Selling, General & Administrative came in at $735,660, up 157.9% year-over-year; for FY2025, it was $548,092, up 8.0% from FY2024.
- Selling, General & Administrative has increased for four consecutive years, with a four-year compound annual growth rate of 97.7% (FY2021 to FY2025).
- By year, Selling, General & Administrative came in at $507,438 in FY2024 (+317.5%), $121,538 in FY2023 (+60.7%), $75,653 in FY2022 (+110.7%) and $35,901 in FY2021.
- Five-year quarterly Selling, General & Administrative spans a low of -$35,615 in Q4 2024 and a high of $346,726 in Q3 2025.
- Year over year, Selling, General & Administrative gained in four of the last six quarters, with growth averaging 170.0%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2022 (growth of 981.1%); the low point was Q2 2025 (a decline of 68.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $210,813 (Q1 2026), $29,556 (Q4 2025) and $346,726 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 226.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 175.95 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 61.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 120.59 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 86.40 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 98.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 290.98 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 74.42 Mn |
| 10 | Kinetic Seas | 1.82 Mn | 1.82 Mn | 519,750.00 | 148,565.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148,565.00 |
| Mar 31, 2026 | 210,813.00 |
| Dec 31, 2025 | 29,556.00 |
| Sep 30, 2025 | 346,726.00 |
| Jun 30, 2025 | 89,320.00 |
| Mar 31, 2025 | 82,490.00 |
| Dec 31, 2024 | -35,615.00 |
| Sep 30, 2024 | 149,050.00 |
| Jun 30, 2024 | 283,025.00 |
| Mar 31, 2024 | 110,978.00 |
| Dec 31, 2023 | 79,261.00 |
| Sep 30, 2023 | 17,345.00 |
| Jun 30, 2023 | 22,205.00 |
| Dec 31, 2022 | 14,588.00 |
| Sep 30, 2022 | 52,790.00 |
| Jun 30, 2022 | 6,925.00 |
| Mar 31, 2022 | 1,350.00 |
| Dec 31, 2021 | 25,333.00 |
| Sep 30, 2021 | 4,883.00 |
Kinetic Seas Selling, General & Administrative 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=selling-general-and-administrative&ticker=KSEZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=KSEZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();