AI Era (AERA) Non-Current Assets (2014 - 2026)
AI Era (AERA) reported Non-Current Assets of $9.55 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 52.6% from $6.26 million a year earlier and up 21.7% from the prior quarter.
Powered by 
Analysis
AI Era (AERA) Non-Current Assets (2014 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), AI Era posted Non-Current Assets of $6.42 million, up 286.9% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 24.3% (FY2020 to FY2025).
- By fiscal year, Non-Current Assets came in at $1.66 million in FY2024 (-33.7%), $2.5 million in FY2023 (-56.4%), $5.74 million in FY2022 (+17.7%) and $4.88 million in FY2021 (+125.5%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Non-Current Assets in data going back to fiscal Q4 2014.
- Year over year, Non-Current Assets has now increased in each of the last six quarters, with growth averaging 143.1% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was fiscal Q3 2025 (growth of 368.8%); the low point was fiscal Q4 2023 (a decline of 56.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $7.85 million (Q2 2026), $6.09 million (Q1 2026) and $6.42 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Walt Disney | 182.51 Bn | 167.08 Bn | 11.57 Bn | 179.85 Bn |
| 2 | Warner Music | 14.20 Bn | 11.69 Bn | 854.00 Mn | 7.47 Bn |
| 3 | Lionsgate Studios | 3.27 Bn | 2.23 Bn | - | 3.87 Bn |
| 4 | Angel Studios | 841.96 Mn | 647.45 Mn | 59.96 Mn | 109.71 Mn |
| 5 | Reservoir Media | 629.64 Mn | 541.95 Mn | 26.69 Mn | 871.58 Mn |
| 6 | Kartoon Studios | 35.46 Mn | 18.33 Mn | - | - |
| 7 | American Picture House | 5.69 Mn | 5.69 Mn | - | 1.19 Mn |
| 8 | Nexus Advanced Technologies | 2.46 Mn | -16.15 Mn | - | 68.84 Mn |
| 9 | AI Era | 696,201.70 | 45,968.70 | - | 9.55 Mn |
| 10 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 62.27 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 9.55 Mn |
| Feb 28, 2026 | 7.85 Mn |
| Nov 30, 2025 | 6.09 Mn |
| Aug 31, 2025 | 6.42 Mn |
| May 31, 2025 | 6.26 Mn |
| Feb 28, 2025 | 2.77 Mn |
| Nov 30, 2024 | 1.73 Mn |
| Aug 31, 2024 | 1.66 Mn |
| May 31, 2024 | 1.34 Mn |
| Feb 29, 2024 | 1.73 Mn |
| Nov 30, 2023 | 2.34 Mn |
| Aug 31, 2023 | 2.50 Mn |
| May 31, 2023 | 2.84 Mn |
| Feb 28, 2023 | 3.65 Mn |
| Nov 30, 2022 | 4.99 Mn |
| Aug 31, 2022 | 5.74 Mn |
| May 31, 2022 | 6.44 Mn |
| Feb 28, 2022 | 6.07 Mn |
| Nov 30, 2021 | 5.36 Mn |
| Aug 31, 2021 | 4.88 Mn |
API Access
AI Era Non-Current Assets 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-assets&ticker=AERA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-assets&ticker=AERA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();