Intrusion (INTZ) Operating Expenses (2010 - 2026)
Intrusion (INTZ) reported Operating Expenses of $132.00 for Q2 2026, down 100.0% from $2.31 million a year earlier.
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Analysis
Intrusion (INTZ) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Intrusion's Operating Expenses came in at $7.03 million, down 17.5% year-over-year; for FY2025, it came in at $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%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses in data going back to Q2 2010.
- Year over year, Operating Expenses gained in four of the last seven quarters, with an average decline of 11.1%.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 137.0%); the low point was Q2 2026 (a decline of 100.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 499.67 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 541.37 Mn |
| 10 | Intrusion | 12.64 Mn | 12.64 Mn | - | 132.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 132.00 |
| 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 |
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();