AI Era (AERA) Amortization - Intangibles (2016 - 2026)
AI Era's Amortization - Intangibles was $1.66 million in FY2024 (year ended Aug 31, 2024), down 45.5% from $3.05 million in FY2023.
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Analysis
AI Era (AERA) Amortization - Intangibles (2016 - 2026) Analysis & Trends
- Per Business Quant data, Amortization - Intangibles in earlier fiscal years was $3.05 million in FY2023 and -$3.22 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walt Disney | 205.42 Bn | 189.99 Bn | 11.57 Bn |
| 2 | Warner Music | 16.90 Bn | 14.39 Bn | 854.00 Mn |
| 3 | Lionsgate Studios | 4.18 Bn | 2.90 Bn | 240.40 Mn |
| 4 | Angel Studios | 905.05 Mn | 728.30 Mn | 100.00 Mn |
| 5 | Reservoir Media | 675.30 Mn | 590.68 Mn | 32.16 Mn |
| 6 | Kartoon Studios | 31.10 Mn | -22.52 Mn | 1.19 Mn |
| 7 | American Picture House | 4.55 Mn | 4.55 Mn | - |
| 8 | Nexus Advanced Technologies | 792,061.23 | -15.85 Mn | - |
| 9 | AI Era | 58,016.81 | -592,216.19 | - |
| 10 | Sony | 166.48 Bn | 103.89 Bn | 7.96 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -1,445,409.00 Bn |
| Feb 28, 2026 | -1.10 Mn |
| Nov 30, 2025 | -918,781.00 |
| Aug 31, 2025 | 849,568.00 Bn |
| May 31, 2025 | -594,802.00 Bn |
| Feb 28, 2025 | -100,044.00 |
| Nov 30, 2024 | -154,722.00 |
| Aug 31, 2024 | 1,441,489.00 Bn |
| May 31, 2024 | -369,006.00 Bn |
| Feb 29, 2024 | -560,674.00 |
| Nov 30, 2023 | -511,809.00 |
| May 31, 2023 | -751,192.00 |
| Feb 28, 2023 | -855,744.00 |
| Nov 30, 2022 | -923,499.00 |
| Nov 30, 2016 | 5,000.00 |
API Access
AI Era Amortization - Intangibles 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=amortization-intangibles&ticker=AERA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=AERA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();