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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 822.22 Mn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 12.44 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 747.88 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 634.01 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 722.71 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Greentech Innovations | 527,633.25 | 527,633.25 | - | 5,651.00 |
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 |
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_KEY
import 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();