Technology & Telecommunication Acquisition (TETEF) Price to Earnings (2022 - 2025)
Technology & Telecommunication Acquisition's Price to Earnings came in at 540.36 for fiscal Q2 2025 (quarter ended May 31, 2025), down 85.1% from 3627.81 a year earlier but up 321.6% from the prior quarter.
Technology & Telecommunication Acquisition (TETEF) Price to Earnings (2022 - 2025) Analysis & Trends
For FY2024 (ended Nov 30, 2024), Technology & Telecommunication Acquisition's Price to Earnings was 122.73, down 74.6% from FY2023.
- Going back by fiscal year, Price to Earnings was 483.30 in FY2023 (+194.8%) and 163.96 in FY2022.
- The five-year range for quarterly Price to Earnings is 42.04 (fiscal Q2 2023) to 3627.81 (fiscal Q2 2024).
- Business Quant data shows TETEF's Price to Earnings at 128.17 (Q1 2025), 122.73 (Q4 2024) and 685.79 (Q3 2024) in the three fiscal quarters before Q2 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn |
| 10 | Technology & Telecommunication Acquisition | 41.28 Mn | 41.28 Mn | - |
Historic Data
| Date | Value |
|---|---|
| May 31, 2025 | 540.36 |
| Feb 28, 2025 | 128.17 |
| Nov 30, 2024 | 122.73 |
| Aug 31, 2024 | 685.79 |
| May 31, 2024 | 3,627.81 |
| Nov 30, 2023 | 483.30 |
| Aug 31, 2023 | 50.93 |
| May 31, 2023 | 42.04 |
| Feb 28, 2023 | 77.40 |
| Nov 30, 2022 | 163.96 |
Technology & Telecommunication Acquisition 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=TETEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "TETEF", "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=TETEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();