Intellinetics (INLX) Total Current Liabilities (2010 - 2025)
Intellinetics' Total Current Liabilities was $5.58 million in Q3 2025, down 2.0% from $5.69 million a year earlier but up 19.2% from the prior quarter.
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Analysis
Intellinetics (INLX) Total Current Liabilities (2010 - 2025) Analysis & Trends
At the end of FY2024, Total Current Liabilities at Intellinetics came in at $6.6 million, up 50.4% from FY2023.
- Total Current Liabilities shows a five-year compound annual growth rate of -2.0% (FY2019 to FY2024).
- In earlier years, Total Current Liabilities was $4.39 million in FY2023 (-26.9%), $6 million in FY2022 (+68.7%), $3.56 million in FY2021 (-1.9%) and $3.62 million in FY2020 (-50.4%).
- Quarterly Total Current Liabilities has moved between $3.26 million (Q1 2021) and $7.13 million (Q3 2022) over five years.
- Compared with a year earlier, Total Current Liabilities was higher in six of the last eight quarters, with growth averaging 10.3%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q3 2022 (growth of 89.8%); the worst was Q4 2020 (a decline of 50.4%).
- Per Business Quant data, INLX's Total Current Liabilities in the three quarters before Q3 2025 was $4.68 million (Q2 2025), $6.46 million (Q1 2025) and $6.6 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.54 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 47.51 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 22.94 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 26.34 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 12.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 50.02 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 10.16 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 8.81 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 495.11 Mn |
| 10 | Intellinetics | 23.07 Mn | 23.07 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 5.58 Mn |
| Jun 30, 2025 | 4.68 Mn |
| Mar 31, 2025 | 6.46 Mn |
| Dec 31, 2024 | 6.60 Mn |
| Sep 30, 2024 | 5.69 Mn |
| Jun 30, 2024 | 4.66 Mn |
| Mar 31, 2024 | 4.85 Mn |
| Dec 31, 2023 | 4.39 Mn |
| Sep 30, 2023 | 4.80 Mn |
| Jun 30, 2023 | 4.39 Mn |
| Mar 31, 2023 | 4.74 Mn |
| Dec 31, 2022 | 6.00 Mn |
| Sep 30, 2022 | 7.13 Mn |
| Jun 30, 2022 | 5.79 Mn |
| Mar 31, 2022 | 5.43 Mn |
| Dec 31, 2021 | 3.56 Mn |
| Sep 30, 2021 | 3.76 Mn |
| Jun 30, 2021 | 3.35 Mn |
| Mar 31, 2021 | 3.26 Mn |
| Dec 31, 2020 | 3.62 Mn |
API Access
Intellinetics Total 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-current-liabilities&ticker=INLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=INLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();