Intellinetics (INLX) Total Non-Current Liabilities (2011 - 2025)
Intellinetics' Total Non-Current Liabilities came in at $974,878 for Q3 2025, down 66.4% from $2.9 million a year earlier but up 6.4% from the prior quarter.
Intellinetics (INLX) Total Non-Current Liabilities (2011 - 2025) Analysis & Trends
At the end of FY2024, Intellinetics' Total Non-Current Liabilities was $1.35 million, down 72.5% from FY2023.
- Total Non-Current Liabilities has declined in each of the last three years, though with a five-year compound annual growth rate of 90.7% (FY2019 to FY2024).
- Going back by year, Total Non-Current Liabilities was $4.89 million in FY2023 (-9.0%), $5.37 million in FY2022 (-6.5%), $5.74 million in FY2021 (+3.2%) and $5.57 million in FY2020.
- The five-year range for quarterly Total Non-Current Liabilities is $915,918 (Q2 2025) to $5.84 million (Q3 2021).
- Year-over-year, Total Non-Current Liabilities has declined for ten consecutive quarters, with an average decline of 48.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2023 (growth of 36.6%), and the weakest in Q2 2025 (a decline of 76.2%).
- Business Quant data shows INLX's Total Non-Current Liabilities at $915,918 (Q2 2025), $1.15 million (Q1 2025) and $1.35 million (Q4 2024) in the three quarters before Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 1.78 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 188.55 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 12.35 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 67.55 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 18.55 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 56.02 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 17.49 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.34 Mn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 21.67 Bn |
| 10 | Intellinetics | 23.96 Mn | 23.96 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 974,878.00 |
| Jun 30, 2025 | 915,918.00 |
| Mar 31, 2025 | 1.15 Mn |
| Dec 31, 2024 | 1.35 Mn |
| Sep 30, 2024 | 2.90 Mn |
| Jun 30, 2024 | 3.86 Mn |
| Mar 31, 2024 | 4.05 Mn |
| Dec 31, 2023 | 4.89 Mn |
| Sep 30, 2023 | 5.05 Mn |
| Jun 30, 2023 | 5.15 Mn |
| Mar 31, 2023 | 5.26 Mn |
| Dec 31, 2022 | 5.37 Mn |
| Sep 30, 2022 | 5.38 Mn |
| Jun 30, 2022 | 5.52 Mn |
| Mar 31, 2022 | 3.85 Mn |
| Dec 31, 2021 | 5.74 Mn |
| Sep 30, 2021 | 5.84 Mn |
| Jun 30, 2021 | 5.60 Mn |
| Mar 31, 2021 | 5.26 Mn |
| Dec 31, 2020 | 5.57 Mn |
Intellinetics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=INLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();