Intrusion (INTZ) Cash & Equivalents (2010 - 2025)
Intrusion (INTZ) recorded Cash & Equivalents of $3.62 million in Q4 2025, down 25.3% from $4.85 million a year earlier but up 43.4% from the prior quarter.
Analysis
Intrusion (INTZ) Cash & Equivalents (2010 - 2025) Analysis & Trends
Starting with Q2 2010, Intrusion's Cash & Equivalents history includes 63 quarters.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -26.3% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $4.85 million in FY2024, $139,000 in FY2023 (-95.4%), $3.02 million in FY2022 (-26.5%) and $4.1 million in FY2021 (-75.5%).
- Quarterly Cash & Equivalents has ranged from $122,000 in Q1 2024 to $13.07 million in Q1 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in four of the last six quarters, with growth averaging 192.0%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 493.8% in Q3 2024, against a decline of 97.4% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.53 million (Q3 2025), $4.69 million (Q2 2025) and $10.74 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 928.35 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 1.00 Bn |
| 10 | Intrusion | 14.48 Mn | -13.17 Mn | 1.10 Mn | 3.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.62 Mn |
| Sep 30, 2025 | 2.53 Mn |
| Jun 30, 2025 | 4.69 Mn |
| Mar 31, 2025 | 10.74 Mn |
| Dec 31, 2024 | 4.85 Mn |
| Sep 30, 2024 | 1.05 Mn |
| Jun 30, 2024 | 1.51 Mn |
| Mar 31, 2024 | 122,000.00 |
| Dec 31, 2023 | 139,000.00 |
| Sep 30, 2023 | 177,000.00 |
| Jun 30, 2023 | 300,000.00 |
| Mar 31, 2023 | 411,000.00 |
| Dec 31, 2022 | 3.02 Mn |
| Sep 30, 2022 | 6.91 Mn |
| Jun 30, 2022 | 7.02 Mn |
| Mar 31, 2022 | 6.08 Mn |
| Dec 31, 2021 | 4.10 Mn |
| Sep 30, 2021 | 7.15 Mn |
| Jun 30, 2021 | 9.34 Mn |
| Mar 31, 2021 | 13.07 Mn |
API Access
Intrusion Cash & Equivalents 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=cash-and-equivalents&ticker=INTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=INTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();