Intellinetics (INLX) Cash & Equivalents (2010 - 2025)
Intellinetics' Cash & Equivalents came in at $3.22 million for Q3 2025, up 28.8% from $2.5 million a year earlier and up 55.5% from the prior quarter.
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Analysis
Intellinetics (INLX) Cash & Equivalents (2010 - 2025) Analysis & Trends
At the end of FY2024, Intellinetics' Cash & Equivalents was $2.49 million, up 104.8% from FY2023.
- Cash & Equivalents carries a five-year compound annual growth rate of 43.8% (FY2019 to FY2024).
- Going back by year, Cash & Equivalents was $1.22 million in FY2023 (-54.9%), $2.7 million in FY2022 (+53.9%), $1.75 million in FY2021 (-8.1%) and $1.91 million in FY2020 (+372.1%).
- The Q3 2025 figure represents the highest quarterly Cash & Equivalents since Q3 2022.
- Year-over-year, Cash & Equivalents has increased for six consecutive quarters, with growth averaging 32.8% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2020 (growth of 372.1%), and the weakest in Q3 2023 (a decline of 55.3%).
- Business Quant data shows INLX's Cash & Equivalents at $2.07 million (Q2 2025), $2.14 million (Q1 2025) and $2.49 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 2.03 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 36.37 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 12.22 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 8.31 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 2.50 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 4.23 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 4.71 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | 295.17 Mn |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 1.71 Bn |
| 10 | Intellinetics | 22.62 Mn | 22.62 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 3.22 Mn |
| Jun 30, 2025 | 2.07 Mn |
| Mar 31, 2025 | 2.14 Mn |
| Dec 31, 2024 | 2.49 Mn |
| Sep 30, 2024 | 2.50 Mn |
| Jun 30, 2024 | 1.68 Mn |
| Mar 31, 2024 | 1.18 Mn |
| Dec 31, 2023 | 1.22 Mn |
| Sep 30, 2023 | 1.69 Mn |
| Jun 30, 2023 | 1.13 Mn |
| Mar 31, 2023 | 1.42 Mn |
| Dec 31, 2022 | 2.70 Mn |
| Sep 30, 2022 | 3.78 Mn |
| Jun 30, 2022 | 2.11 Mn |
| Mar 31, 2022 | 2.17 Mn |
| Dec 31, 2021 | 1.75 Mn |
| Sep 30, 2021 | 1.83 Mn |
| Jun 30, 2021 | 1.14 Mn |
| Mar 31, 2021 | 2.00 Mn |
| Dec 31, 2020 | 1.91 Mn |
API Access
Intellinetics Cash & Equivalents 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=cash-and-equivalents&ticker=INLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();