Intellinetics (INLX) Shares Outstanding (Diluted) (2020 - 2025)
Intellinetics' Shares Outstanding (Diluted) was 4.3 million in Q4 2025, up 2.4% from 4.2 million a year earlier but down 2.0% from the prior quarter.
Analysis
Intellinetics (INLX) Shares Outstanding (Diluted) (2020 - 2025) Analysis & Trends
From Q1 2020 onward, Intellinetics has reported Shares Outstanding (Diluted) for 24 quarters.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 4.2 million in FY2024 (-9.7%), 4.65 million in FY2023 (+8.3%), 4.3 million in FY2022 (+38.4%) and 3.1 million in FY2021 (+29.0%).
- Quarterly Shares Outstanding (Diluted) has moved between 2.83 million (Q1 2022) and 4.72 million (Q2 2024) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) was higher in four of the last eight quarters, with an average decline of 1.3%.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q1 2021 (growth of 162.0%); the worst was Q1 2024 (a decline of 12.4%).
- Per Business Quant data, INLX's Shares Outstanding (Diluted) in the three quarters before Q4 2025 was 4.39 million (Q3 2025), 4.25 million (Q2 2025) and 4.26 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 3.00 Bn |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 821.00 Mn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | 403.30 Mn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | 1.84 Bn |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Intellinetics | 23.07 Mn | 23.07 Mn | - | 4.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.30 Mn |
| Sep 30, 2025 | 4.39 Mn |
| Jun 30, 2025 | 4.25 Mn |
| Mar 31, 2025 | 4.26 Mn |
| Dec 31, 2024 | 4.20 Mn |
| Sep 30, 2024 | 4.23 Mn |
| Jun 30, 2024 | 4.72 Mn |
| Mar 31, 2024 | 4.11 Mn |
| Dec 31, 2023 | 4.65 Mn |
| Sep 30, 2023 | 4.39 Mn |
| Jun 30, 2023 | 4.07 Mn |
| Mar 31, 2023 | 4.70 Mn |
| Dec 31, 2022 | 4.30 Mn |
| Sep 30, 2022 | 4.70 Mn |
| Jun 30, 2022 | 4.07 Mn |
| Mar 31, 2022 | 2.83 Mn |
| Dec 31, 2021 | 3.10 Mn |
| Sep 30, 2021 | 3.10 Mn |
| Jun 30, 2021 | 3.10 Mn |
| Mar 31, 2021 | 3.11 Mn |
API Access
Intellinetics Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=INLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();