Intellinetics (INLX) Cost of Revenue (2011 - 2026)
Intellinetics' Cost of Revenue was $1.43 million in Q3 2025, down 22.2% from $1.84 million a year earlier but up 11.6% from the prior quarter.
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Analysis
Intellinetics (INLX) Cost of Revenue (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Intellinetics' Cost of Revenue was $5.45 million through Sep 30, 2025, down 17.0% year-over-year; for FY2024, it was $6.49 million, up 2.7% from FY2023.
- Cost of Revenue has now increased for five consecutive years, with a five-year compound annual growth rate of 62.8% (FY2019 to FY2024).
- In earlier years, Cost of Revenue was $6.32 million in FY2023 (+23.8%), $5.11 million in FY2022 (+13.1%), $4.52 million in FY2021 (+38.5%) and $3.26 million in FY2020 (+474.6%).
- Quarterly Cost of Revenue has moved between $1.03 million (Q1 2021) and $1.84 million (Q3 2024) over five years.
- Compared with a year earlier, Cost of Revenue has declined for four straight quarters, with an average decline of 6.3% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q4 2020 (growth of 653.5%); the worst was Q3 2025 (a decline of 22.2%).
- Per Business Quant data, INLX's Cost of Revenue in the three quarters before Q3 2025 was $1.28 million (Q2 2025), $1.38 million (Q1 2025) and $1.35 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 383.29 Mn |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 774.00 Mn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 3.18 Bn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 2.65 Bn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | 2.97 Bn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 1.21 Bn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 910.00 Mn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 35.79 Mn |
| 10 | Intellinetics | 18.02 Mn | 8.48 Mn | 2.62 Mn | 1.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.79 Mn |
| Mar 31, 2026 | 1.43 Mn |
| Dec 31, 2025 | 1.44 Mn |
| Sep 30, 2025 | 1.43 Mn |
| Jun 30, 2025 | 1.28 Mn |
| Mar 31, 2025 | 1.42 Mn |
| Dec 31, 2024 | 1.35 Mn |
| Sep 30, 2024 | 1.84 Mn |
| Jun 30, 2024 | 1.64 Mn |
| Mar 31, 2024 | 1.61 Mn |
| Dec 31, 2023 | 1.47 Mn |
| Sep 30, 2023 | 1.64 Mn |
| Jun 30, 2023 | 1.67 Mn |
| Mar 31, 2023 | 1.54 Mn |
| Dec 31, 2022 | 1.46 Mn |
| Sep 30, 2022 | 1.35 Mn |
| Jun 30, 2022 | 1.23 Mn |
| Mar 31, 2022 | 1.07 Mn |
| Dec 31, 2021 | 1.14 Mn |
| Sep 30, 2021 | 1.26 Mn |
API Access
Intellinetics Cost of 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=cost-of-revenue&ticker=INLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();