Greentech Innovations (GTIC) Operating Expenses (2014 - 2026)
Greentech Innovations (GTIC) reported Operating Expenses of $5,651 for fiscal Q3 2026 (quarter ended Feb 28, 2026), up 25.6% from $4,500 a year earlier but down 16.3% from the prior quarter.
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Analysis
Greentech Innovations (GTIC) Operating Expenses (2014 - 2026) Analysis & Trends
Over the twelve months ended Feb 28, 2026, Greentech Innovations' Operating Expenses came in at $28,055, down 8.2% year-over-year; for FY2025 (ended May 31, 2025), it came in at $31,099, down 12.3% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -75.9% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $35,469 in FY2024 (+11.9%), $31,691 in FY2023 (+5.3%), $30,084 in FY2022 (+1.0%) and $29,782 in FY2021 (-99.9%).
- Five-year quarterly Operating Expenses spans a low of $3,948 in fiscal Q4 2024 and a high of $19,338 in fiscal Q1 2024.
- Year over year, Operating Expenses gained in three of the last eight quarters, with an average decline of 4.7%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q2 2022 (growth of 71.4%); the low point was fiscal Q1 2026 (a decline of 36.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $6,753 (Q2 2026), $11,149 (Q1 2026) and $4,502 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | 892.00 Mn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | 895.80 Mn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | 784.64 Mn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | 747.88 Mn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | 237.39 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | 634.01 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 152.28 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | 87.00 Mn |
| 10 | Greentech Innovations | 1.00 Mn | 1.00 Mn | - | 5,651.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 5,651.00 |
| Nov 30, 2025 | 6,753.00 |
| Aug 31, 2025 | 11,149.00 |
| May 31, 2025 | 4,502.00 |
| Feb 28, 2025 | 4,500.00 |
| Nov 30, 2024 | 4,559.00 |
| Aug 31, 2024 | 17,538.00 |
| May 31, 2024 | 3,948.00 |
| Feb 29, 2024 | 5,950.00 |
| Nov 30, 2023 | 6,233.00 |
| Aug 31, 2023 | 19,338.00 |
| May 31, 2023 | 5,519.00 |
| Feb 28, 2023 | 5,322.00 |
| Nov 30, 2022 | 4,700.00 |
| Aug 31, 2022 | 16,150.00 |
| May 31, 2022 | 4,700.00 |
| Feb 28, 2022 | 4,700.00 |
| Nov 30, 2021 | 7,200.00 |
| Aug 31, 2021 | 13,484.00 |
| May 31, 2021 | 4,700.00 |
API Access
Greentech Innovations 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=GTIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GTIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();