Intellinetics (INLX) Other Operating Expenses (2011 - 2026)
Intellinetics' Other Operating Expenses came in at $843,954 for Q3 2025, down 8.4% from $921,187 a year earlier and down 5.0% from the prior quarter.
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Analysis
Intellinetics (INLX) Other Operating Expenses (2011 - 2026) Analysis & Trends
For FY2024, Intellinetics' Other Operating Expenses was $3.26 million, up 18.8% from FY2023.
- Other Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 27.2% (FY2019 to FY2024).
- Going back by year, Other Operating Expenses was $2.75 million in FY2023 (+7.6%), $2.55 million in FY2022 (+47.0%), $1.74 million in FY2021 (-37.4%) and $2.77 million in FY2020 (+182.4%).
- The Q3 2025 figure represents the lowest quarterly Other Operating Expenses since Q2 2024.
- Year-over-year, Other Operating Expenses increased in five of the last eight quarters, with growth averaging 15.3%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q4 2020 (growth of 680.1%), and the weakest in Q4 2021 (a decline of 74.0%).
- Business Quant data shows INLX's Other Operating Expenses at $888,497 (Q2 2025), $1.05 million (Q1 2025) and $856,072 (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn |
| 10 | Intellinetics | 18.02 Mn | 8.48 Mn | 2.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 673,788.00 |
| Mar 31, 2026 | 723,780.00 |
| Dec 31, 2025 | 946,748.00 |
| Sep 30, 2025 | 843,954.00 |
| Jun 30, 2025 | 888,497.00 |
| Mar 31, 2025 | 819,698.00 |
| Dec 31, 2024 | 856,072.00 |
| Sep 30, 2024 | 921,187.00 |
| Jun 30, 2024 | 741,756.00 |
| Mar 31, 2024 | 743,803.00 |
| Dec 31, 2023 | 653,551.00 |
| Sep 30, 2023 | 679,437.00 |
| Jun 30, 2023 | 667,431.00 |
| Mar 31, 2023 | 745,290.00 |
| Dec 31, 2022 | -57,347.00 |
| Sep 30, 2022 | 28,494.00 |
| Jun 30, 2022 | 52,301.00 |
| Mar 31, 2022 | 64,204.00 |
| Dec 31, 2021 | 64,203.00 |
| Jun 30, 2021 | 7,261.00 |
API Access
Intellinetics Other 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=other-operating-expenses&ticker=INLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();