Intrusion (INTZ) Accumulated Expenses (2010 - 2025)
Intrusion (INTZ) posted Accumulated Expenses of $357,000 for Q4 2025, up 22.7% from $291,000 a year earlier but down 35.1% from the prior quarter.
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Analysis
Intrusion (INTZ) Accumulated Expenses (2010 - 2025) Analysis & Trends
Since Q4 2010, Intrusion has reported Accumulated Expenses for 31 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -10.7% (FY2020 to FY2025).
- In prior years, Intrusion's Accumulated Expenses was $291,000 in FY2024 (+31.1%), $222,000 in FY2023 (-50.2%), $446,000 in FY2022 (-16.5%) and $534,000 in FY2021 (-15.0%).
- Quarterly Accumulated Expenses has run from a low of $212,000 in Q2 2023 to a high of $1.11 million in Q3 2022 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last five quarters, with growth averaging 7.3% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2025, with growth of 36.8%; the weakest was Q2 2023, with a decline of 75.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $550,000 (Q3 2025), $265,000 (Q2 2025) and $402,000 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Intrusion | 14.48 Mn | -13.17 Mn | 1.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 357,000.00 |
| Sep 30, 2025 | 550,000.00 |
| Jun 30, 2025 | 265,000.00 |
| Mar 31, 2025 | 402,000.00 |
| Dec 31, 2024 | 291,000.00 |
| Sep 30, 2024 | 402,000.00 |
| Jun 30, 2024 | 239,000.00 |
| Mar 31, 2024 | 356,000.00 |
| Dec 31, 2023 | 222,000.00 |
| Sep 30, 2023 | 635,000.00 |
| Jun 30, 2023 | 212,000.00 |
| Mar 31, 2023 | 524,000.00 |
| Dec 31, 2022 | 446,000.00 |
| Sep 30, 2022 | 1.11 Mn |
| Jun 30, 2022 | 872,000.00 |
| Mar 31, 2022 | 896,000.00 |
| Dec 31, 2021 | 534,000.00 |
| Sep 30, 2021 | 957,000.00 |
| Jun 30, 2021 | 854,000.00 |
| Mar 31, 2021 | 677,000.00 |
API Access
Intrusion Accumulated 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=accumulated-expenses&ticker=INTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=INTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();