Intellicheck (IDN) Operating Expenses (2010 - 2026)
Intellicheck (IDN) posted Operating Expenses of $4.85 million for Q2 2026, down 1.0% from $4.9 million a year earlier but up 8.2% from the prior quarter.
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Analysis
Intellicheck (IDN) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Intellicheck was $19.11 million, down 3.4% year-over-year; for FY2025, it was $19.41 million, up 0.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In prior years, Intellicheck's Operating Expenses was $19.33 million in FY2024 (-2.4%), $19.81 million in FY2023 (+5.8%), $18.72 million in FY2022 (-8.1%) and $20.38 million in FY2021 (+61.6%).
- Quarterly Operating Expenses has run from a low of $4.06 million in Q4 2023 to a high of $5.3 million in Q1 2023 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last three quarters, with growth averaging 2.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 91.8%; the weakest was Q1 2022, with a decline of 36.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $4.48 million (Q1 2026), $4.57 million (Q4 2025) and $5.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Intellicheck | 47.39 Mn | 8.62 Mn | 5.42 Mn | 4.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.85 Mn |
| Mar 31, 2026 | 4.48 Mn |
| Dec 31, 2025 | 4.57 Mn |
| Sep 30, 2025 | 5.21 Mn |
| Jun 30, 2025 | 4.90 Mn |
| Mar 31, 2025 | 4.74 Mn |
| Dec 31, 2024 | 4.94 Mn |
| Sep 30, 2024 | 5.20 Mn |
| Jun 30, 2024 | 4.44 Mn |
| Mar 31, 2024 | 4.77 Mn |
| Dec 31, 2023 | 4.06 Mn |
| Sep 30, 2023 | 5.23 Mn |
| Jun 30, 2023 | 5.21 Mn |
| Mar 31, 2023 | 5.30 Mn |
| Dec 31, 2022 | 4.83 Mn |
| Sep 30, 2022 | 4.45 Mn |
| Jun 30, 2022 | 4.81 Mn |
| Mar 31, 2022 | 4.62 Mn |
| Dec 31, 2021 | 4.58 Mn |
| Sep 30, 2021 | 4.35 Mn |
API Access
Intellicheck Operating 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=operating-expenses&ticker=IDN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IDN", "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-expenses&ticker=IDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();