Intrusion (INTZ) Non Operating Interest Expenses (2019 - 2024)
Intrusion's Non Operating Interest Expenses came in at $34,000 for Q2 2024, down 85.4% from $233,000 a year earlier and down 85.1% from the prior quarter.
Intrusion (INTZ) Non Operating Interest Expenses (2019 - 2024) Analysis & Trends
Over the trailing twelve months to Jun 30, 2024, Intrusion reported Non Operating Interest Expenses of $1.17 million, down 48.7% year-over-year; for FY2023, it was $1.89 million, down 20.0% from FY2022.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 58.5% (FY2018 to FY2023).
- Going back by year, Non Operating Interest Expenses was $2.36 million in FY2022, $21,000 in FY2021 (+250.0%), $6,000 in FY2020 (-87.0%) and $46,000 in FY2019 (-75.7%).
- The Q2 2024 figure represents the lowest quarterly Non Operating Interest Expenses since Q4 2021.
- Year-over-year, Non Operating Interest Expenses has declined for five consecutive quarters, with growth averaging 7.4% over the last six quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q4 2021 (growth of 400.0%), and the weakest in Q1 2020 (a decline of 97.1%).
- Business Quant data shows INTZ's Non Operating Interest Expenses at $228,000 (Q1 2024), $388,000 (Q4 2023) and $520,000 (Q3 2023) in the three quarters before Q2 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 6.05 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 28.10 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -90.00 Mn |
| 10 | Intrusion | 14.48 Mn | -13.17 Mn | 1.10 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 34,000.00 |
| Mar 31, 2024 | 228,000.00 |
| Dec 31, 2023 | 388,000.00 |
| Sep 30, 2023 | 520,000.00 |
| Jun 30, 2023 | 233,000.00 |
| Mar 31, 2023 | 285,000.00 |
| Dec 31, 2022 | 702,000.00 |
| Sep 30, 2022 | 1.06 Mn |
| Jun 30, 2022 | 525,000.00 |
| Mar 31, 2022 | 71,000.00 |
| Dec 31, 2021 | 10,000.00 |
| Sep 30, 2021 | 8,000.00 |
| Jun 30, 2021 | 1,000.00 |
| Mar 31, 2021 | 2,000.00 |
| Dec 31, 2020 | 2,000.00 |
| Sep 30, 2020 | 2,000.00 |
| Jun 30, 2020 | 2,000.00 |
| Mar 31, 2020 | 1,000.00 |
| Dec 31, 2019 | 1,000.00 |
| Sep 30, 2019 | 1,000.00 |
Intrusion Non Operating Interest 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=non-operating-interest-expenses&ticker=INTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=INTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();