Technology & Telecommunication Acquisition (TETEF) Operating Expenses (2022 - 2026)
Technology & Telecommunication Acquisition (TETEF) reported Operating Expenses of $438,280 for fiscal Q2 2026 (quarter ended May 31, 2026), up 284.8% from $113,900 a year earlier and up 193.0% from the prior quarter.
Technology & Telecommunication Acquisition (TETEF) Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Technology & Telecommunication Acquisition's Operating Expenses came in at $1.42 million, up 44.5% year-over-year; for FY2025 (ended Nov 30, 2025), it was $1.13 million, up 6.9% from FY2024.
- Operating Expenses has a four-year compound annual growth rate of 290.6% (FY2021 to FY2025).
- By fiscal year, Operating Expenses came in at $1.06 million in FY2024 (-42.6%), $1.84 million in FY2023 (+268.2%), $500,952 in FY2022 and $4,861 in FY2021.
- Five-year quarterly Operating Expenses spans a low of $52,500 in fiscal Q3 2022 and a high of $1.05 million in fiscal Q4 2023.
- Year over year, Operating Expenses gained in two of the last eight quarters, with growth averaging 31.5%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2023 (growth of 485.8%); the low point was fiscal Q4 2024 (a decline of 54.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $149,585 (Q1 2026), $323,099 (Q4 2025) and $511,420 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | 149.76 Mn |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 2.38 Bn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | 14.94 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Technology & Telecommunication Acquisition | 41.28 Mn | 41.28 Mn | - | 438,280.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 438,280.00 |
| Feb 28, 2026 | 149,585.00 |
| Nov 30, 2025 | 323,099.00 |
| Aug 31, 2025 | 511,420.00 |
| May 31, 2025 | 113,900.00 |
| Feb 28, 2025 | 183,093.00 |
| Nov 30, 2024 | 479,563.00 |
| Aug 31, 2024 | 207,983.00 |
| May 31, 2024 | 150,675.00 |
| Feb 29, 2024 | 220,190.00 |
| Nov 30, 2023 | 1.05 Mn |
| Aug 31, 2023 | 307,548.00 |
| May 31, 2023 | 182,740.00 |
| Feb 28, 2023 | 301,530.00 |
| Nov 30, 2022 | 199,056.00 |
| Aug 31, 2022 | 52,500.00 |
| May 31, 2022 | 53,300.00 |
| Feb 28, 2022 | 196,096.00 |
Technology & Telecommunication Acquisition Operating Expenses 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=operating-expenses&ticker=TETEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TETEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();