Global Interactive Technologies (GITS) Operating Expenses (2022 - 2026)
Global Interactive Technologies' Operating Expenses came in at $716,053 for Q2 2026, up 5.8% from $676,960 a year earlier and up 44.2% from the prior quarter.
Global Interactive Technologies (GITS) Operating Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Global Interactive Technologies reported Operating Expenses of $2.41 million, up 48.1% year-over-year; for FY2025, it was $2.44 million, up 174.7% from FY2024.
- Operating Expenses carries a three-year compound annual growth rate of -25.3% (FY2022 to FY2025).
- Going back by year, Operating Expenses was $888,363 in FY2024 (-55.7%), $2.01 million in FY2023 (-65.7%) and $5.85 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q3 2023.
- Year-over-year, Operating Expenses increased in five of the last seven quarters, with growth averaging 95.8%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2025 (growth of 265.5%), and the weakest in Q1 2024 (a decline of 94.1%).
- Business Quant data shows GITS's Operating Expenses at $496,447 (Q1 2026), $657,244 (Q4 2025) and $543,080 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Global Interactive Technologies | 7.57 Mn | 6.36 Mn | 126.00 | 716,053.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 716,053.00 |
| Mar 31, 2026 | 496,447.00 |
| Dec 31, 2025 | 657,244.00 |
| Sep 30, 2025 | 543,080.00 |
| Jun 30, 2025 | 676,960.00 |
| Mar 31, 2025 | 563,468.00 |
| Dec 31, 2024 | 179,804.00 |
| Sep 30, 2024 | 208,879.00 |
| Jun 30, 2024 | 335,117.00 |
| Mar 31, 2024 | 164,563.00 |
| Dec 31, 2023 | -7.01 Mn |
| Sep 30, 2023 | 3.23 Mn |
| Jun 30, 2023 | 2.98 Mn |
| Mar 31, 2023 | 2.81 Mn |
| Dec 31, 2022 | 131,601.00 |
| Sep 30, 2022 | 1.80 Mn |
| Jun 30, 2022 | 1.50 Mn |
Global Interactive Technologies 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=GITS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GITS", "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=GITS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();