Intrusion (INTZ) Selling, General & Administrative (2010 - 2025)
Intrusion (INTZ) recorded Selling, General & Administrative of $1.06 million in Q4 2025, up 43.9% from $733,000 a year earlier and up 1.5% from the prior quarter.
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Analysis
Intrusion (INTZ) Selling, General & Administrative (2010 - 2025) Analysis & Trends
For FY2025, Intrusion reported Selling, General & Administrative of $4.11 million, up 10.8% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $3.71 million in FY2024 (-28.4%), $5.17 million in FY2023 (-30.9%), $7.48 million in FY2022 (+26.9%) and $5.9 million in FY2021 (+109.4%).
- The Q4 2025 figure is the highest quarterly Selling, General & Administrative since Q1 2024.
- On a year-over-year basis, Selling, General & Administrative has increased for three consecutive quarters, with an average decline of 7.1% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 420.2% in Q2 2021, against a decline of 42.2% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.04 million (Q3 2025), $978,000 (Q2 2025) and $1.03 million (Q1 2025).
Peer Set
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 | Intrusion | 14.48 Mn | -13.17 Mn | 1.10 Mn | 1.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.06 Mn |
| Sep 30, 2025 | 1.04 Mn |
| Jun 30, 2025 | 978,000.00 |
| Mar 31, 2025 | 1.03 Mn |
| Dec 31, 2024 | 733,000.00 |
| Sep 30, 2024 | 841,000.00 |
| Jun 30, 2024 | 950,000.00 |
| Mar 31, 2024 | 1.18 Mn |
| Dec 31, 2023 | 1.17 Mn |
| Sep 30, 2023 | 1.31 Mn |
| Jun 30, 2023 | 1.19 Mn |
| Mar 31, 2023 | 1.51 Mn |
| Dec 31, 2022 | 1.52 Mn |
| Sep 30, 2022 | 1.85 Mn |
| Jun 30, 2022 | 2.05 Mn |
| Mar 31, 2022 | 2.06 Mn |
| Dec 31, 2021 | 1.64 Mn |
| Sep 30, 2021 | 1.59 Mn |
| Jun 30, 2021 | 1.70 Mn |
| Mar 31, 2021 | 973,000.00 |
API Access
Intrusion 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=INTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "INTZ", "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=INTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();