AI Era (AERA) Price to Earnings (2017 - 2026)
AI Era's Price to Earnings came in at 0.47 for fiscal Q2 2026 (quarter ended Feb 28, 2026), down 99.9% from 849.01 a year earlier and down 46.0% from the prior quarter.
AI Era (AERA) Price to Earnings (2017 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), AI Era's Price to Earnings was 987.92, down 85.3% from FY2024.
- Going back by fiscal year, Price to Earnings was 6730.26 in FY2024.
- The fiscal Q2 2026 figure represents the lowest quarterly Price to Earnings in data going back to fiscal Q2 2017.
- Year-over-year, Price to Earnings has declined for three consecutive quarters.
- Business Quant data shows AERA's Price to Earnings at 0.87 (Q1 2026), 987.92 (Q4 2025) and 2.11 (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walt Disney | 207.01 Bn | 184.77 Bn | 11.57 Bn |
| 2 | Warner Music | 11.93 Bn | 9.29 Bn | 854.00 Mn |
| 3 | Lionsgate Studios | 4.25 Bn | 2.95 Bn | - |
| 4 | Reservoir Media | 688.00 Mn | 603.04 Mn | 32.16 Mn |
| 5 | Angel Studios | 681.69 Mn | 487.37 Mn | 59.96 Mn |
| 6 | Kartoon Studios | 33.47 Mn | 16.34 Mn | - |
| 7 | American Picture House | 5.69 Mn | 5.69 Mn | - |
| 8 | Nexus Advanced Technologies | 965,086.92 | -16.70 Mn | - |
| 9 | AI Era | 54,593.42 | -595,639.58 | - |
| 10 | Sony | 161.53 Bn | 96.07 Bn | 7.96 Bn |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 0.47 |
| Nov 30, 2025 | 0.87 |
| Aug 31, 2025 | 987.92 |
| May 31, 2025 | 2.11 |
| Feb 28, 2025 | 849.01 |
| Nov 30, 2024 | 8,643.18 |
| Aug 31, 2024 | 6,730.26 |
| Nov 30, 2017 | 101.89 Mn |
| Aug 31, 2017 | 125.31 Mn |
| May 31, 2017 | 742.91 Mn |
| Feb 28, 2017 | 3.52 Bn |
AI Era Price to Earnings 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=price-to-earnings&ticker=AERA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=AERA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();