AI Era (AERA) Total Non-Current Liabilities (2015 - 2026)
AI Era's Total Non-Current Liabilities was $6.95 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 86.9% from $3.72 million a year earlier.
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Analysis
AI Era (AERA) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Total Non-Current Liabilities at AI Era came in at $3.49 million, up 560.8% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- In earlier fiscal years, Total Non-Current Liabilities was $528,385 in FY2024 (-52.9%), $1.12 million in FY2023 (+17.7%) and $954,124 in FY2022.
- The fiscal Q3 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q2 2015.
- Compared with a year earlier, Total Non-Current Liabilities was higher in four of the last seven quarters, with growth averaging 200.1%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2025 (growth of 560.8%); the worst was fiscal Q1 2025 (a decline of 54.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walt Disney | 182.51 Bn | 167.08 Bn | 11.57 Bn | 77.74 Bn |
| 2 | Warner Music | 14.20 Bn | 11.69 Bn | 854.00 Mn | 9.64 Bn |
| 3 | Lionsgate Studios | 3.27 Bn | 2.23 Bn | - | 6.24 Bn |
| 4 | Angel Studios | 841.96 Mn | 647.45 Mn | 59.96 Mn | - |
| 5 | Reservoir Media | 629.64 Mn | 541.95 Mn | 26.69 Mn | 570.38 Mn |
| 6 | Kartoon Studios | 35.46 Mn | 18.33 Mn | - | - |
| 7 | American Picture House | 5.69 Mn | 5.69 Mn | - | - |
| 8 | Nexus Advanced Technologies | 2.46 Mn | -16.15 Mn | - | 26.90 Mn |
| 9 | AI Era | 696,201.70 | 45,968.70 | - | 6.95 Mn |
| 10 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.78 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 6.95 Mn |
| Nov 30, 2025 | 2.69 Mn |
| Aug 31, 2025 | 3.49 Mn |
| May 31, 2025 | 3.72 Mn |
| Feb 28, 2025 | 754,926.00 |
| Nov 30, 2024 | 511,841.00 |
| Aug 31, 2024 | 528,385.00 |
| May 31, 2024 | 688,600.00 |
| Feb 29, 2024 | 798,578.00 |
| Nov 30, 2023 | 1.12 Mn |
| Aug 31, 2023 | 1.12 Mn |
| May 31, 2023 | 1.11 Mn |
| Feb 28, 2023 | 1.32 Mn |
| Nov 30, 2022 | 1.22 Mn |
| Aug 31, 2022 | 954,124.00 |
| May 31, 2022 | 1.65 Mn |
| Feb 28, 2022 | 1.23 Mn |
| Nov 30, 2021 | 1.61 Mn |
| Feb 28, 2021 | 466,549.00 |
| Nov 30, 2020 | 903,685.00 |
API Access
AI Era 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=AERA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AERA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();