Intellinetics (INLX) Accumulated Expenses (2014 - 2026)
Intellinetics' Accumulated Expenses came in at $215,638 for Q3 2025, up 62.4% from $132,751 a year earlier but down 1.1% from the prior quarter.
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Analysis
Intellinetics (INLX) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2024, Intellinetics' Accumulated Expenses was $172,421, up 5.1% from FY2023.
- Accumulated Expenses carries a five-year compound annual growth rate of 4.2% (FY2019 to FY2024).
- Going back by year, Accumulated Expenses was $164,103 in FY2023 (+42.8%), $114,902 in FY2022 (-29.0%), $161,862 in FY2021 (+22.9%) and $131,685 in FY2020 (-6.0%).
- The five-year range for quarterly Accumulated Expenses is $114,902 (Q4 2022) to $294,040 (Q1 2025).
- Year-over-year, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 22.1% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2024 (growth of 70.5%), and the weakest in Q1 2021 (a decline of 68.6%).
- Business Quant data shows INLX's Accumulated Expenses at $218,144 (Q2 2025), $294,040 (Q1 2025) and $172,421 (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 | 166,260.00 |
| Mar 31, 2026 | 257,475.00 |
| Dec 31, 2025 | 199,995.00 |
| Sep 30, 2025 | 215,638.00 |
| Jun 30, 2025 | 218,144.00 |
| Mar 31, 2025 | 294,040.00 |
| Dec 31, 2024 | 172,421.00 |
| Sep 30, 2024 | 132,751.00 |
| Jun 30, 2024 | 160,947.00 |
| Mar 31, 2024 | 262,050.00 |
| Dec 31, 2023 | 164,103.00 |
| Sep 30, 2023 | 223,309.00 |
| Jun 30, 2023 | 181,961.00 |
| Mar 31, 2023 | 153,677.00 |
| Dec 31, 2022 | 114,902.00 |
| Sep 30, 2022 | 116,231.00 |
| Jun 30, 2022 | 129,239.00 |
| Mar 31, 2022 | 155,384.00 |
| Dec 31, 2021 | 161,862.00 |
| Sep 30, 2021 | 153,643.00 |
API Access
Intellinetics Accumulated 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=accumulated-expenses&ticker=INLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();