Intellinetics (INLX) Operating Expenses (2010 - 2025)
Intellinetics (INLX) posted Operating Expenses of $87,836 for Q4 2025, down 97.0% from $2.94 million a year earlier and down 97.0% from the prior quarter.
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Analysis
Intellinetics (INLX) Operating Expenses (2010 - 2025) Analysis & Trends
For FY2025, Intellinetics' Operating Expenses came in at $325,929, down 97.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -45.9% (FY2020 to FY2025).
- In prior years, Intellinetics' Operating Expenses was $11.7 million in FY2024 (+23.7%), $9.46 million in FY2023 (+17.0%), $8.08 million in FY2022 (+35.2%) and $5.98 million in FY2021 (-15.0%).
- The Q4 2025 figure stands as the lowest quarterly Operating Expenses since Q3 2011.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 4.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 54.0%; the weakest was Q4 2025, with a decline of 97.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $2.95 million (Q3 2025), $3.24 million (Q2 2025) and $3.55 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - | 12.62 Bn |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - | - |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Intellinetics | 23.96 Mn | 23.96 Mn | - | 87,836.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 87,836.00 |
| Sep 30, 2025 | 2.95 Mn |
| Jun 30, 2025 | 3.24 Mn |
| Mar 31, 2025 | 3.55 Mn |
| Dec 31, 2024 | 2.94 Mn |
| Sep 30, 2024 | 3.04 Mn |
| Jun 30, 2024 | 2.83 Mn |
| Mar 31, 2024 | 2.93 Mn |
| Dec 31, 2023 | 2.54 Mn |
| Sep 30, 2023 | 2.26 Mn |
| Jun 30, 2023 | 2.29 Mn |
| Mar 31, 2023 | 2.36 Mn |
| Dec 31, 2022 | 2.17 Mn |
| Sep 30, 2022 | 2.05 Mn |
| Jun 30, 2022 | 2.32 Mn |
| Mar 31, 2022 | 1.54 Mn |
| Dec 31, 2021 | 1.47 Mn |
| Sep 30, 2021 | 1.51 Mn |
| Jun 30, 2021 | 1.51 Mn |
| Mar 31, 2021 | 1.49 Mn |
API Access
Intellinetics 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=INLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "INLX", "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=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();