Intellinetics (INLX) Total Liabilities (2010 - 2025)
Intellinetics (INLX) recorded Total Liabilities of $6.55 million in Q3 2025, down 23.7% from $8.59 million a year earlier but up 17.1% from the prior quarter.
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Analysis
Intellinetics (INLX) Total Liabilities (2010 - 2025) Analysis & Trends
At the end of FY2024, Intellinetics reported Total Liabilities of $7.94 million, down 14.4% from FY2023.
- Annual Total Liabilities has a five-year compound annual growth rate of 1.5% (FY2019 to FY2024).
- Across earlier years, Total Liabilities came in at $9.28 million in FY2023 (-18.5%), $11.37 million in FY2022 (+22.3%), $9.3 million in FY2021 (+1.2%) and $9.19 million in FY2020 (+24.8%).
- Quarterly Total Liabilities has ranged from $5.59 million in Q2 2025 to $12.51 million in Q3 2022 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for ten consecutive quarters, with an average decline of 17.5% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 30.4% in Q3 2022, against a decline of 34.3% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.59 million (Q2 2025), $7.61 million (Q1 2025) and $7.94 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Intellinetics | 23.07 Mn | 23.07 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 6.55 Mn |
| Jun 30, 2025 | 5.59 Mn |
| Mar 31, 2025 | 7.61 Mn |
| Dec 31, 2024 | 7.94 Mn |
| Sep 30, 2024 | 8.59 Mn |
| Jun 30, 2024 | 8.52 Mn |
| Mar 31, 2024 | 8.90 Mn |
| Dec 31, 2023 | 9.28 Mn |
| Sep 30, 2023 | 9.85 Mn |
| Jun 30, 2023 | 9.54 Mn |
| Mar 31, 2023 | 10.00 Mn |
| Dec 31, 2022 | 11.37 Mn |
| Sep 30, 2022 | 12.51 Mn |
| Jun 30, 2022 | 11.31 Mn |
| Mar 31, 2022 | 9.28 Mn |
| Dec 31, 2021 | 9.30 Mn |
| Sep 30, 2021 | 9.59 Mn |
| Jun 30, 2021 | 8.95 Mn |
| Mar 31, 2021 | 8.52 Mn |
| Dec 31, 2020 | 9.19 Mn |
API Access
Intellinetics Total 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-liabilities&ticker=INLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();