AI Era (AERA) Amortization of Intangibles (2016 - 2026)
AI Era (AERA) posted Amortizatization of Intangibles of $1.45 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 143.0% from $594,802 a year earlier and up 31.0% from the prior quarter.
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Analysis
AI Era (AERA) Amortization of Intangibles (2016 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Amortizatization of Intangibles at AI Era was $4.18 million, up 290.8% year-over-year; for FY2025 (ended Aug 31, 2025), it was $1.56 million, down 6.2% from FY2024.
- Annual Amortizatization of Intangibles shows a five-year compound annual growth rate of 68.8% (FY2020 to FY2025).
- In prior fiscal years, AI Era's Amortizatization of Intangibles was $1.66 million in FY2024 (-45.5%), $3.05 million in FY2023, -$3.22 million in FY2022 and $1.47 million in FY2021.
- The fiscal Q3 2026 figure stands as the highest quarterly Amortizatization of Intangibles in data going back to fiscal Q1 2017.
- On a year-over-year basis, Amortizatization of Intangibles increased in four of the last six quarters, with growth averaging 128.2%.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was fiscal Q1 2026, with growth of 493.8%; the weakest was fiscal Q2 2025, with a decline of 82.2%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior fiscal quarters was $1.1 million (Q2 2026), $918,781 (Q1 2026) and $708,085 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Walt Disney | 206.21 Bn | 183.97 Bn | 11.57 Bn | - |
| 2 | Warner Music | 11.86 Bn | 9.22 Bn | 854.00 Mn | - |
| 3 | Lionsgate Studios | 4.14 Bn | 2.84 Bn | - | - |
| 4 | Reservoir Media | 694.93 Mn | 609.97 Mn | 32.16 Mn | 8.37 Mn |
| 5 | Angel Studios | 654.96 Mn | 460.63 Mn | 59.96 Mn | 541,033.00 |
| 6 | Kartoon Studios | 32.98 Mn | 15.85 Mn | - | - |
| 7 | American Picture House | 5.69 Mn | 5.69 Mn | - | - |
| 8 | Nexus Advanced Technologies | 990,127.45 | -16.67 Mn | - | - |
| 9 | AI Era | 54,593.42 | -595,639.58 | - | 1.45 Mn |
| 10 | Sony | 161.62 Bn | 96.16 Bn | 7.96 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.45 Mn |
| Feb 28, 2026 | 1.10 Mn |
| Nov 30, 2025 | 918,781.00 |
| Aug 31, 2025 | 708,085.00 |
| May 31, 2025 | 594,802.00 |
| Feb 28, 2025 | 100,044.00 |
| Nov 30, 2024 | 154,722.00 |
| Aug 31, 2024 | 218,970.00 |
| May 31, 2024 | 369,006.00 |
| Feb 29, 2024 | 560,674.00 |
| Nov 30, 2023 | 511,809.00 |
| May 31, 2023 | 1.27 Mn |
| Feb 28, 2023 | 855,744.00 |
| Nov 30, 2022 | 923,499.00 |
| May 31, 2022 | 862,399.00 |
| Feb 28, 2022 | 686,567.00 |
| Nov 30, 2021 | 686,567.00 |
| Aug 31, 2021 | 615,727.00 |
| May 31, 2021 | 428,794.00 |
| Feb 28, 2021 | 283,481.00 |
API Access
AI Era Amortization of 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=amortizatization-of-intangibles&ticker=AERA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=AERA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();