Intellinetics (INLX) Operating Margin (2011 - 2025)
Intellinetics (INLX) posted Operating Margin of -9.48% for Q3 2025, down 2.98 percentage points from -6.50% a year earlier but up 3.20 percentage points from the prior quarter.
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Analysis
Intellinetics (INLX) Operating Margin (2011 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Operating Margin at Intellinetics was -9.58%, down 9.70 percentage points year-over-year; for FY2024, it came in at -0.96%, down 7.52 percentage points from FY2023.
- Annual Operating Margin shows a five-year change of +44.49 percentage points (FY2019 to FY2024).
- In prior years, Intellinetics' Operating Margin was 6.56% in FY2023 (+0.66 pp), 5.90% in FY2022 (-2.52 pp), 8.42% in FY2021 (+33.12 pp) and -24.70% in FY2020 (+20.75 pp).
- Quarterly Operating Margin has run from a low of -48.68% in Q4 2020 to a high of 12.91% in Q3 2021 over five years.
- On a year-over-year basis, Operating Margin has declined in each of the last nine quarters, with an average year-over-year change of -8.83 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q1 2021, with a gain of 72.71 percentage points; the weakest was Q2 2025, with a drop of 16.39 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was -12.68% (Q2 2025), -16.12% (Q1 2025) and -0.30% (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 477.68 Bn | 446.63 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 375.20 Bn | 247.33 Bn | - | 34.78% |
| 3 | Sap Se | 282.07 Bn | 209.85 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 203.29 Bn | 159.16 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 161.34 Bn | 139.80 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 122.61 Bn | 104.74 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 97.06 Bn | 76.41 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 74.42 Bn | 73.51 Bn | - | - |
| 9 | Thomson Reuters | 55.18 Bn | 51.96 Bn | - | 28.56% |
| 10 | Intellinetics | 20.17 Mn | 20.17 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -9.48% |
| Jun 30, 2025 | -12.68% |
| Mar 31, 2025 | -16.12% |
| Dec 31, 2024 | -0.30% |
| Sep 30, 2024 | -6.50% |
| Jun 30, 2024 | 3.71% |
| Mar 31, 2024 | -0.77% |
| Dec 31, 2023 | 4.33% |
| Sep 30, 2023 | 8.13% |
| Jun 30, 2023 | 6.96% |
| Mar 31, 2023 | 6.78% |
| Dec 31, 2022 | 10.17% |
| Sep 30, 2022 | 11.87% |
| Jun 30, 2022 | -3.91% |
| Mar 31, 2022 | 3.42% |
| Dec 31, 2021 | 5.07% |
| Sep 30, 2021 | 12.91% |
| Jun 30, 2021 | 10.51% |
| Mar 31, 2021 | 4.20% |
| Dec 31, 2020 | -48.68% |
API Access
Intellinetics Operating Margin 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=operating-margin&ticker=INLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();