Intellinetics (INLX) Property, Plant & Equipment (Net) (2011 - 2026)
Intellinetics (INLX) posted Property, Plant & Equipment (Net) of $1.09 million for Q4 2025, down 0.1% from $1.09 million a year earlier and down 7.3% from the prior quarter.
Intellinetics (INLX) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
Since Q4 2011, Intellinetics has reported Property, Plant & Equipment (Net) for 56 quarters.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- In prior years, Intellinetics' Property, Plant & Equipment (Net) was $1.09 million in FY2024 (+18.4%), $924,257 in FY2023 (-13.5%), $1.07 million in FY2022 (-2.1%) and $1.09 million in FY2021 (+56.2%).
- The Q4 2025 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q2 2024.
- On a year-over-year basis, Property, Plant & Equipment (Net) increased in five of the last eight quarters, with growth averaging 8.9%.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q4 2021, with growth of 56.2%; the weakest was Q1 2024, with a decline of 14.4%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $1.18 million (Q3 2025), $1.2 million (Q2 2025) and $1.13 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 65.00 Mn |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 127.85 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 5.16 Bn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 3.04 Bn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | 644.30 Mn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 2.15 Bn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | 96.75 Mn |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 27.22 Mn |
| 10 | Intellinetics | 18.02 Mn | 8.48 Mn | 2.62 Mn | 995,491.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 995,491.00 |
| Mar 31, 2026 | 1.03 Mn |
| Dec 31, 2025 | 1.09 Mn |
| Sep 30, 2025 | 1.18 Mn |
| Jun 30, 2025 | 1.20 Mn |
| Mar 31, 2025 | 1.13 Mn |
| Dec 31, 2024 | 1.09 Mn |
| Sep 30, 2024 | 1.12 Mn |
| Jun 30, 2024 | 999,276.00 |
| Mar 31, 2024 | 880,740.00 |
| Dec 31, 2023 | 924,257.00 |
| Sep 30, 2023 | 961,504.00 |
| Jun 30, 2023 | 1.02 Mn |
| Mar 31, 2023 | 1.03 Mn |
| Dec 31, 2022 | 1.07 Mn |
| Sep 30, 2022 | 1.07 Mn |
| Jun 30, 2022 | 1.09 Mn |
| Mar 31, 2022 | 1.09 Mn |
| Dec 31, 2021 | 1.09 Mn |
| Sep 30, 2021 | 1.09 Mn |
Intellinetics Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=INLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();