Intellinetics (INLX) Price to Earnings (2021 - 2024)
Intellinetics' (INLX) Price to Earnings was 158.06 for Q2 2024, up 604.8% from 22.43 a year earlier and up 1.0% from the prior quarter.
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Analysis
Intellinetics (INLX) Price to Earnings (2021 - 2024) Analysis & Trends
For FY2023, Price to Earnings at Intellinetics was 40.09, down 94.5% from FY2022.
- By year, Price to Earnings came in at 723.97 in FY2022 and 15.72 in FY2021.
- The Q2 2024 figure ranks as the highest quarterly Price to Earnings since Q4 2022.
- Year over year, Price to Earnings gained in three of the last four quarters, with growth averaging 204.1%.
- Per Business Quant data, the three quarters before Q2 2024 came in at 156.57 (Q1 2024), 40.09 (Q4 2023) and 28.40 (Q3 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Intellinetics | 22.62 Mn | 22.62 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 158.06 |
| Mar 31, 2024 | 156.57 |
| Dec 31, 2023 | 40.09 |
| Sep 30, 2023 | 28.40 |
| Jun 30, 2023 | 22.43 |
| Mar 31, 2023 | 104.50 |
| Dec 31, 2022 | 723.97 |
| Mar 31, 2022 | 29.34 |
| Dec 31, 2021 | 15.72 |
API Access
Intellinetics Price to Earnings 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=price-to-earnings&ticker=INLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();