Audioeye (AEYE) Total Liabilities (2011 - 2026)
Audioeye's Total Liabilities was $31.66 million in Q2 2026, up 19.2% from $26.55 million a year earlier but down 0.8% from the prior quarter.
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Analysis
Audioeye (AEYE) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Audioeye came in at $27.43 million, up 34.9% from FY2024.
- Total Liabilities has now increased for seven consecutive years, with a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $20.33 million in FY2024 (+8.2%), $18.79 million in FY2023 (+35.8%), $13.84 million in FY2022 (+18.1%) and $11.72 million in FY2021 (+10.3%).
- Quarterly Total Liabilities has moved between $9.83 million (Q3 2021) and $31.92 million (Q1 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for 11 straight quarters, with growth averaging 35.4% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2024 (growth of 91.8%); the worst was Q1 2023 (a decline of 20.4%).
- Per Business Quant data, AEYE's Total Liabilities in the three quarters before Q2 2026 was $31.92 million (Q1 2026), $27.43 million (Q4 2025) and $24.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 236.06 Bn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | 34.68 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | 18.26 Bn |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | 6.95 Bn |
| 10 | Audioeye | 101.29 Mn | 74.17 Mn | 8.45 Mn | 31.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.66 Mn |
| Mar 31, 2026 | 31.92 Mn |
| Dec 31, 2025 | 27.43 Mn |
| Sep 30, 2025 | 24.83 Mn |
| Jun 30, 2025 | 26.55 Mn |
| Mar 31, 2025 | 25.17 Mn |
| Dec 31, 2024 | 20.33 Mn |
| Sep 30, 2024 | 22.04 Mn |
| Jun 30, 2024 | 17.15 Mn |
| Mar 31, 2024 | 18.65 Mn |
| Dec 31, 2023 | 18.79 Mn |
| Sep 30, 2023 | 11.49 Mn |
| Jun 30, 2023 | 12.26 Mn |
| Mar 31, 2023 | 12.47 Mn |
| Dec 31, 2022 | 13.84 Mn |
| Sep 30, 2022 | 14.06 Mn |
| Jun 30, 2022 | 14.74 Mn |
| Mar 31, 2022 | 15.65 Mn |
| Dec 31, 2021 | 11.72 Mn |
| Sep 30, 2021 | 9.83 Mn |
API Access
Audioeye 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=AEYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=AEYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();