AI Era (AERA) Net Long-Term Debt Issued (Repaid) (2016 - 2026)
AI Era's Non-Current Debt came in at $74.00 for fiscal Q1 2018 (quarter ended Nov 30, 2017), down 95.9% from $1,816 a year earlier and down 98.1% from the prior quarter.
AI Era (AERA) Net Long-Term Debt Issued (Repaid) (2016 - 2026) Analysis & Trends
For FY2017 (ended Aug 31, 2017), AI Era's Non-Current Debt was $2,797, unchanged from FY2016.
- Going back by fiscal year, Non-Current Debt was $2,797 in FY2016.
- The five-year range for quarterly Non-Current Debt is -$3,000 (fiscal Q2 2017) to $3,981 (fiscal Q4 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Walt Disney | 207.01 Bn | 184.77 Bn | 11.57 Bn | -88.00 Mn |
| 2 | Warner Music | 11.93 Bn | 9.29 Bn | 854.00 Mn | -1.00 Mn |
| 3 | Lionsgate Studios | 4.25 Bn | 2.95 Bn | - | -48.50 Mn |
| 4 | Reservoir Media | 688.00 Mn | 603.04 Mn | 32.16 Mn | - |
| 5 | Angel Studios | 681.69 Mn | 487.37 Mn | 59.96 Mn | -28.89 Mn |
| 6 | Kartoon Studios | 33.47 Mn | 16.34 Mn | - | - |
| 7 | American Picture House | 5.69 Mn | 5.69 Mn | - | 15,903.00 |
| 8 | Nexus Advanced Technologies | 965,086.92 | -16.70 Mn | - | - |
| 9 | AI Era | 54,593.42 | -595,639.58 | - | -45,613.00 |
| 10 | Sony | 161.53 Bn | 96.07 Bn | 7.96 Bn | 302.21 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -45,613.00 |
| Feb 28, 2026 | -908,460.00 |
| Nov 30, 2025 | -771,771.00 |
| Aug 31, 2025 | -1.64 Mn |
| May 31, 2025 | 3.14 Mn |
| Feb 28, 2025 | 156,228.00 |
| Nov 30, 2024 | -38,813.00 |
| Aug 31, 2024 | -99,894.00 |
| May 31, 2024 | -32,872.00 |
| Feb 29, 2024 | -223,715.00 |
| Nov 30, 2023 | 179,981.00 |
| Aug 31, 2023 | 68,731.00 |
| May 31, 2023 | -228,767.00 |
| Feb 28, 2023 | 529,739.00 |
| Nov 30, 2022 | 1,184.00 |
| Aug 31, 2022 | 56,455.00 |
| Nov 30, 2020 | 233,017.00 |
| Aug 31, 2020 | 248,289.00 |
| May 31, 2020 | 32,992.00 |
| Nov 30, 2017 | 74.00 |
AI Era Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=AERA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "AERA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=AERA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();