Global Interactive Technologies (GITS) Return on Sales [ROS] (2022 - 2026)
Global Interactive Technologies' Return on Sales [ROS] was -568196.03% in Q2 2026, up 1766048.80 percentage points from -2334244.83% a year earlier but down 51163.74 percentage points from the prior quarter.
Global Interactive Technologies (GITS) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Global Interactive Technologies' Return on Sales [ROS] was -113444.66% through Jun 30, 2026, up 5504079.48 percentage points year-over-year; for FY2025, it came in at -126232.92%.
- Return on Sales [ROS] shows a three-year change of -124966.76 percentage points (FY2022 to FY2025).
- In earlier years, Return on Sales [ROS] was -1266.16% in FY2022.
- Quarterly Return on Sales [ROS] has moved between -9902061.54% (Q1 2025) and -193.34% (Q3 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for three straight quarters, with an average year-over-year change of +4304293.30 percentage points over the last four quarters.
- Per Business Quant data, GITS's Return on Sales [ROS] in the three quarters before Q2 2026 was -517032.29% (Q1 2026), -1011044.62% (Q4 2025) and -29447.33% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,564.98 Bn | 3,299.88 Bn | 76.16 Bn | 31.81% |
| 2 | Meta Platforms | 1,632.64 Bn | 1,297.16 Bn | 51.23 Bn | 20.10% |
| 3 | Netflix | 263.18 Bn | 224.48 Bn | 6.80 Bn | 34.63% |
| 4 | Alibaba Group Holding | 245.84 Bn | 59.48 Bn | 15.16 Bn | 5.64% |
| 5 | Shopify | 192.71 Bn | 171.51 Bn | 1.78 Bn | 15.18% |
| 6 | Uber Technologies | 141.33 Bn | 112.15 Bn | 6.42 Bn | 9.80% |
| 7 | AppLovin | 135.82 Bn | 124.35 Bn | 1.94 Bn | 78.22% |
| 8 | Spotify Technology | 122.27 Bn | 79.19 Bn | 1.89 Bn | 13.52% |
| 9 | Booking Holdings | 120.62 Bn | 54.37 Bn | - | 38.43% |
| 10 | Global Interactive Technologies | 5.87 Mn | 4.67 Mn | 126.00 | -568,196.03% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -568,196.03% |
| Mar 31, 2026 | -517,032.29% |
| Dec 31, 2025 | -1,011,044.62% |
| Sep 30, 2025 | -29,447.33% |
| Jun 30, 2025 | -2,334,244.83% |
| Mar 31, 2025 | -9,902,061.54% |
| Dec 31, 2024 | -6,833,561.54% |
| Jun 30, 2024 | -2,577,823.08% |
| Sep 30, 2023 | -414.01% |
| Jun 30, 2023 | -1,049.31% |
| Mar 31, 2023 | -1,258,500.90% |
| Sep 30, 2022 | -193.34% |
| Jun 30, 2022 | -4,991.98% |
Global Interactive Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GITS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GITS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();