Greentech Innovations (GTIC) Return on Sales [ROS] (2018 - 2025)
Greentech Innovations' Return on Sales [ROS] came in at -99.43% for fiscal Q3 2019 (quarter ended Feb 28, 2019), down 37.48 percentage points from -61.95% a year earlier but up 6335.86 percentage points from the prior quarter.
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Analysis
Greentech Innovations (GTIC) Return on Sales [ROS] (2018 - 2025) Analysis & Trends
Over the trailing twelve months to Feb 28, 2019, Greentech Innovations reported Return on Sales [ROS] of -344.92%; for FY2018 (ended May 31, 2018), it was -297.96%.
- The five-year range for quarterly Return on Sales [ROS] is -6435.29% (fiscal Q2 2019) to -61.95% (fiscal Q3 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 20.97% |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 15.40% |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 7.25% |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 2.98% |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 15.85% |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 4.01% |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 12.33% |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 4.43% |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 14.02% |
| 10 | Greentech Innovations | 1.00 Mn | 1.00 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2025 | -61.76% |
| Aug 31, 2024 | -235.47% |
| Feb 29, 2024 | -80.77% |
| Nov 30, 2023 | -84.60% |
| Aug 31, 2023 | -259.64% |
| Feb 28, 2023 | -73.04% |
| Nov 30, 2022 | -63.79% |
| Aug 31, 2022 | -216.84% |
| Feb 28, 2022 | -102.95% |
| Nov 30, 2021 | -49.13% |
| Aug 31, 2021 | -181.04% |
| Feb 28, 2021 | -69.85% |
| Feb 28, 2019 | -99.43% |
| Nov 30, 2018 | -6,435.29% |
| Aug 31, 2018 | -2,769.16% |
| Feb 28, 2018 | -61.95% |
API Access
Greentech Innovations 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=GTIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GTIC", "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=GTIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();