Intrusion (INTZ) Total Non-Current Liabilities (2018 - 2025)
Intrusion (INTZ) reported Total Non-Current Liabilities of $1.33 million for Q4 2025, down 16.5% from $1.59 million a year earlier and down 7.2% from the prior quarter.
Intrusion (INTZ) Total Non-Current Liabilities (2018 - 2025) Analysis & Trends
Dating back to Q4 2018, Intrusion's Total Non-Current Liabilities record includes 28 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -8.6% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.59 million in FY2024 (+2.9%), $1.54 million in FY2023 (+539.8%), $241,000 in FY2022 (-87.5%) and $1.92 million in FY2021 (-7.5%).
- The Q4 2025 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q3 2023.
- Year over year, Total Non-Current Liabilities gained in seven of the last eight quarters, with growth averaging 190.9%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2024 (growth of 730.4%); the low point was Q2 2023 (a decline of 95.7%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $1.43 million (Q3 2025), $1.48 million (Q2 2025) and $1.54 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Intrusion | 14.68 Mn | -12.97 Mn | 1.10 Mn | 1.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.33 Mn |
| Sep 30, 2025 | 1.43 Mn |
| Jun 30, 2025 | 1.48 Mn |
| Mar 31, 2025 | 1.54 Mn |
| Dec 31, 2024 | 1.59 Mn |
| Sep 30, 2024 | 1.39 Mn |
| Jun 30, 2024 | 1.42 Mn |
| Mar 31, 2024 | 1.48 Mn |
| Dec 31, 2023 | 1.54 Mn |
| Sep 30, 2023 | 509,000.00 |
| Jun 30, 2023 | 171,000.00 |
| Mar 31, 2023 | 204,000.00 |
| Dec 31, 2022 | 241,000.00 |
| Sep 30, 2022 | 1.20 Mn |
| Jun 30, 2022 | 3.93 Mn |
| Mar 31, 2022 | 3.53 Mn |
| Dec 31, 2021 | 1.92 Mn |
| Sep 30, 2021 | 2.03 Mn |
| Jun 30, 2021 | 1.69 Mn |
| Dec 31, 2020 | 2.08 Mn |
Intrusion Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=INTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=INTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();