Audioeye (AEYE) Total Non-Current Liabilities (2011 - 2026)
Audioeye (AEYE) reported Total Non-Current Liabilities of $31.52 million for Q2 2026, up 18.9% from $26.51 million a year earlier but down 0.8% from the prior quarter.
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Analysis
Audioeye (AEYE) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Audioeye posted Total Non-Current Liabilities of $27.2 million, up 36.2% from FY2024.
- Total Non-Current Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 23.4% (FY2021 to FY2025).
- By year, Total Non-Current Liabilities came in at $19.98 million in FY2024 (+6.9%), $18.68 million in FY2023 (+57.2%), $11.89 million in FY2022 (+1.5%) and $11.72 million in FY2021.
- Five-year quarterly Total Non-Current Liabilities spans a low of $10.45 million in Q1 2023 and a high of $31.78 million in Q1 2026.
- Year over year, Total Non-Current Liabilities has now increased in each of the last seven quarters, with growth averaging 28.4% over the last seven quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2024 (growth of 77.4%); the low point was Q1 2023 (a decline of 24.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $31.78 million (Q1 2026), $27.2 million (Q4 2025) and $24.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.78 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 188.55 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 12.35 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 67.55 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 18.55 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 56.02 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.49 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 1.34 Mn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.67 Bn |
| 10 | Audioeye | 85.16 Mn | 58.05 Mn | 8.45 Mn | 31.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.52 Mn |
| Mar 31, 2026 | 31.78 Mn |
| Dec 31, 2025 | 27.20 Mn |
| Sep 30, 2025 | 24.79 Mn |
| Jun 30, 2025 | 26.51 Mn |
| Mar 31, 2025 | 23.77 Mn |
| Dec 31, 2024 | 19.98 Mn |
| Sep 30, 2024 | 20.79 Mn |
| Jun 30, 2024 | 17.04 Mn |
| Mar 31, 2024 | 18.54 Mn |
| Dec 31, 2023 | 18.68 Mn |
| Mar 31, 2023 | 10.45 Mn |
| Dec 31, 2022 | 11.89 Mn |
| Sep 30, 2022 | 12.24 Mn |
| Jun 30, 2022 | 12.85 Mn |
| Mar 31, 2022 | 13.91 Mn |
| Dec 31, 2021 | 11.72 Mn |
| Sep 30, 2020 | 9.38 Mn |
| Jun 30, 2020 | 9.92 Mn |
| Mar 31, 2020 | 8.43 Mn |
API Access
Audioeye 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=AEYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=AEYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();