Audioeye (AEYE) Long-Term Debt Repayments (2012 - 2025)
Audioeye (AEYE) reported Long-Term Debt Repayments of $7 million for FY2025.
Analysis
Audioeye (AEYE) Long-Term Debt Repayments (2012 - 2025) Analysis & Trends
Dating back to FY2012, Audioeye's Long-Term Debt Repayments record includes 5 years.
- The FY2025 figure ranks as the highest annual Long-Term Debt Repayments in data going back to FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | - |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 4.20 Bn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | -1.86 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 176.00 Mn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | 300,000.00 |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | - |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | 500.00 Mn |
| 10 | Audioeye | 101.29 Mn | 74.17 Mn | 8.45 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 7.00 Mn |
| Jun 30, 2024 | 1,000.00 |
| Mar 31, 2024 | 6,000.00 |
| Dec 31, 2023 | 7,000.00 |
| Sep 30, 2023 | 9,000.00 |
| Jun 30, 2023 | 10,000.00 |
| Mar 31, 2023 | 12,000.00 |
| Dec 31, 2022 | 12,000.00 |
| Sep 30, 2022 | 14,000.00 |
| Jun 30, 2022 | 14,000.00 |
| Mar 31, 2022 | 17,000.00 |
| Dec 31, 2021 | 17,000.00 |
| Sep 30, 2021 | 21,000.00 |
| Jun 30, 2021 | 32,000.00 |
| Mar 31, 2021 | 11,000.00 |
| Dec 31, 2020 | 19,000.00 |
| Sep 30, 2020 | 17,000.00 |
| Jun 30, 2020 | 18,000.00 |
| Mar 31, 2020 | 9,000.00 |
| Dec 31, 2019 | 18,000.00 |
API Access
Audioeye Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=AEYE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=AEYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();