Intellinetics (INLX) Revenue (2011 - 2025)
Intellinetics' Revenue was $4 million in Q3 2025, down 12.8% from $4.59 million a year earlier and down 0.2% from the prior quarter.
Intellinetics (INLX) Revenue (2011 - 2025) Analysis & Trends
On a trailing twelve-month basis, Intellinetics' Revenue was $16.54 million through Sep 30, 2025, down 7.8% year-over-year; for FY2024, it came in at $18.02 million, up 6.7% from FY2023.
- Revenue has now increased for six consecutive years, with a five-year compound annual growth rate of 48.0% (FY2019 to FY2024).
- In earlier years, Revenue was $16.89 million in FY2023 (+20.5%), $14.02 million in FY2022 (+22.3%), $11.46 million in FY2021 (+38.9%) and $8.25 million in FY2020 (+225.5%).
- The Q3 2025 figure marks the lowest quarterly Revenue since Q3 2022.
- Compared with a year earlier, Revenue has declined for three straight quarters, with an average decline of 0.2% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q4 2020 (growth of 331.7%); the worst was Q2 2025 (a decline of 13.6%).
- Per Business Quant data, INLX's Revenue in the three quarters before Q3 2025 was $4.01 million (Q2 2025), $4.25 million (Q1 2025) and $4.28 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 1.94 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 19.35 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 11.48 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 11.35 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 3.99 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 5.47 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 4.35 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 122.37 Mn |
| 10 | Intellinetics | 23.96 Mn | 23.96 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 4.00 Mn |
| Jun 30, 2025 | 4.01 Mn |
| Mar 31, 2025 | 4.25 Mn |
| Dec 31, 2024 | 4.28 Mn |
| Sep 30, 2024 | 4.59 Mn |
| Jun 30, 2024 | 4.64 Mn |
| Mar 31, 2024 | 4.51 Mn |
| Dec 31, 2023 | 4.19 Mn |
| Sep 30, 2023 | 4.25 Mn |
| Jun 30, 2023 | 4.26 Mn |
| Mar 31, 2023 | 4.19 Mn |
| Dec 31, 2022 | 4.04 Mn |
| Sep 30, 2022 | 3.86 Mn |
| Jun 30, 2022 | 3.42 Mn |
| Mar 31, 2022 | 2.70 Mn |
| Dec 31, 2021 | 2.74 Mn |
| Sep 30, 2021 | 3.17 Mn |
| Jun 30, 2021 | 2.91 Mn |
| Mar 31, 2021 | 2.64 Mn |
| Dec 31, 2020 | 2.70 Mn |
Intellinetics Revenue 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=revenue&ticker=INLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();