Audioeye (AEYE) Total Current Liabilities (2011 - 2026)
Audioeye's Total Current Liabilities was $15.33 million in Q2 2026, up 14.4% from $13.41 million a year earlier but down 0.7% from the prior quarter.
Audioeye (AEYE) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Audioeye came in at $14.42 million, up 24.6% from FY2024.
- Total Current Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $11.57 million in FY2024 (+0.4%), $11.53 million in FY2023 (+4.2%), $11.06 million in FY2022 (-1.4%) and $11.22 million in FY2021 (+24.4%).
- Quarterly Total Current Liabilities has moved between $9.51 million (Q3 2021) and $15.44 million (Q1 2026) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for three straight quarters, with growth averaging 14.9% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2025 (growth of 34.7%); the worst was Q1 2023 (a decline of 23.4%).
- Per Business Quant data, AEYE's Total Current Liabilities in the three quarters before Q2 2026 was $15.44 million (Q1 2026), $14.42 million (Q4 2025) and $11.88 million (Q3 2025).
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 | Audioeye | 85.16 Mn | 58.05 Mn | 8.45 Mn | 15.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.33 Mn |
| Mar 31, 2026 | 15.44 Mn |
| Dec 31, 2025 | 14.42 Mn |
| Sep 30, 2025 | 11.88 Mn |
| Jun 30, 2025 | 13.41 Mn |
| Mar 31, 2025 | 11.79 Mn |
| Dec 31, 2024 | 11.57 Mn |
| Sep 30, 2024 | 13.61 Mn |
| Jun 30, 2024 | 9.95 Mn |
| Mar 31, 2024 | 11.42 Mn |
| Dec 31, 2023 | 11.53 Mn |
| Sep 30, 2023 | 11.02 Mn |
| Jun 30, 2023 | 11.70 Mn |
| Mar 31, 2023 | 9.78 Mn |
| Dec 31, 2022 | 11.06 Mn |
| Sep 30, 2022 | 11.35 Mn |
| Jun 30, 2022 | 11.83 Mn |
| Mar 31, 2022 | 12.76 Mn |
| Dec 31, 2021 | 11.22 Mn |
| Sep 30, 2021 | 9.51 Mn |
Audioeye 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=AEYE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "AEYE", "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=AEYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();