Intrusion (INTZ) Operating Expenses (2010 - 2025)
Intrusion (INTZ) reported Operating Expenses of $2.35 million for Q4 2025, up 19.6% from $1.96 million a year earlier but down 0.8% from the prior quarter.
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Analysis
Intrusion (INTZ) Operating Expenses (2010 - 2025) Analysis & Trends
For FY2025, Intrusion posted Operating Expenses of $9.28 million, up 14.0% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- By year, Operating Expenses came in at $8.14 million in FY2024 (-24.1%), $10.73 million in FY2023 (-23.1%), $13.95 million in FY2022 (+14.1%) and $12.22 million in FY2021 (+84.9%).
- Five-year quarterly Operating Expenses spans a low of $1.96 million in Q4 2024 and a high of $3.71 million in Q1 2022.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with an average decline of 4.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2021 (growth of 161.6%); the low point was Q1 2024 (a decline of 33.4%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $2.37 million (Q3 2025), $2.31 million (Q2 2025) and $2.25 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Intrusion | 13.48 Mn | -14.18 Mn | 1.10 Mn | 2.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.35 Mn |
| Sep 30, 2025 | 2.37 Mn |
| Jun 30, 2025 | 2.31 Mn |
| Mar 31, 2025 | 2.25 Mn |
| Dec 31, 2024 | 1.96 Mn |
| Sep 30, 2024 | 1.99 Mn |
| Jun 30, 2024 | 1.99 Mn |
| Mar 31, 2024 | 2.20 Mn |
| Dec 31, 2023 | 2.31 Mn |
| Sep 30, 2023 | 2.48 Mn |
| Jun 30, 2023 | 2.64 Mn |
| Mar 31, 2023 | 3.30 Mn |
| Dec 31, 2022 | 3.40 Mn |
| Sep 30, 2022 | 3.31 Mn |
| Jun 30, 2022 | 3.54 Mn |
| Mar 31, 2022 | 3.71 Mn |
| Dec 31, 2021 | 3.10 Mn |
| Sep 30, 2021 | 3.46 Mn |
| Jun 30, 2021 | 3.23 Mn |
| Mar 31, 2021 | 2.44 Mn |
API Access
Intrusion Operating 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=operating-expenses&ticker=INTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=INTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();