Intrusion (INTZ) Operating Margin (2010 - 2025)
Intrusion's Operating Margin came in at -192.37% for Q4 2025, down 78.83 percentage points from -113.54% a year earlier and down 83.72 percentage points from the prior quarter.
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Analysis
Intrusion (INTZ) Operating Margin (2010 - 2025) Analysis & Trends
For FY2025, Intrusion's Operating Margin was -129.16%, up 17.19 percentage points from FY2024.
- Operating Margin has increased in each of the last four years, though with a five-year change of -30.61 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin was -146.35% in FY2024 (+68.33 pp), -214.69% in FY2023 (+1.58 pp), -216.27% in FY2022 (+51.74 pp) and -268.01% in FY2021 (-169.46 pp).
- The Q4 2025 figure represents the lowest quarterly Operating Margin since Q1 2024.
- Year-over-year, Operating Margin increased in seven of the last eight quarters, with an average year-over-year change of +41.98 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in Q3 2022 (a gain of 161.43 percentage points), and the weakest in Q3 2021 (a drop of 247.19 percentage points).
- Business Quant data shows INTZ's Operating Margin at -108.65% (Q3 2025), -111.37% (Q2 2025) and -117.92% (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 0.49% |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 5.17% |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 13.29% |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 9.66% |
| 10 | Intrusion | 13.48 Mn | -14.18 Mn | 1.10 Mn | -192.37% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -192.37% |
| Sep 30, 2025 | -108.65% |
| Jun 30, 2025 | -111.37% |
| Mar 31, 2025 | -117.92% |
| Dec 31, 2024 | -113.54% |
| Sep 30, 2024 | -135.51% |
| Jun 30, 2024 | -139.25% |
| Mar 31, 2024 | -218.57% |
| Dec 31, 2023 | -174.82% |
| Sep 30, 2023 | -183.45% |
| Jun 30, 2023 | -198.98% |
| Mar 31, 2023 | -308.94% |
| Dec 31, 2022 | -312.74% |
| Sep 30, 2022 | -174.36% |
| Jun 30, 2022 | -192.47% |
| Mar 31, 2022 | -217.11% |
| Dec 31, 2021 | -233.50% |
| Sep 30, 2021 | -335.79% |
| Jun 30, 2021 | -288.32% |
| Mar 31, 2021 | -210.80% |
API Access
Intrusion Operating Margin 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-margin&ticker=INTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=INTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();