Intrusion (INTZ) Other Accumulated Expenses (2011 - 2025)
Intrusion's Other Accumulated Expenses came in at $69,000 for Q4 2025, up 30.2% from $53,000 a year earlier.
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Analysis
Intrusion (INTZ) Other Accumulated Expenses (2011 - 2025) Analysis & Trends
Going back to Q4 2011, Intrusion's Other Accumulated Expenses data covers 15 quarters.
- Other Accumulated Expenses has increased in each of the last three years, though with a five-year compound annual growth rate of -5.4% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $53,000 in FY2024 (+1.9%), $52,000 in FY2023 (+100.0%), $26,000 in FY2022 (-44.7%) and $47,000 in FY2021 (-48.4%).
- The Q4 2025 figure represents the highest quarterly Other Accumulated Expenses since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Intrusion | 14.48 Mn | -13.17 Mn | 1.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 69,000.00 |
| Dec 31, 2024 | 53,000.00 |
| Dec 31, 2023 | 52,000.00 |
| Dec 31, 2022 | 26,000.00 |
| Dec 31, 2021 | 47,000.00 |
| Dec 31, 2020 | 91,000.00 |
| Dec 31, 2019 | 79,000.00 |
| Dec 31, 2018 | 479,000.00 |
| Dec 31, 2017 | 348,000.00 |
| Dec 31, 2016 | 184,000.00 |
| Dec 31, 2015 | 80,000.00 |
| Dec 31, 2014 | 113,000.00 |
| Dec 31, 2013 | 158,000.00 |
| Dec 31, 2012 | 130,000.00 |
| Dec 31, 2011 | 80,000.00 |
API Access
Intrusion Other 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=other-accumulated-expenses&ticker=INTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=INTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();