Greentech Innovations (GTIC) Other Operating Expenses (2014 - 2026)
Greentech Innovations (GTIC) posted Other Operating Expenses of $4,750 for fiscal Q3 2026 (quarter ended Feb 28, 2026), up 26.7% from $3,750 a year earlier but down 13.6% from the prior quarter.
Greentech Innovations (GTIC) Other Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Feb 28, 2026, Other Operating Expenses at Greentech Innovations was $24,000, down 11.0% year-over-year; for FY2025 (ended May 31, 2025), it was $27,777, down 5.0% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In prior fiscal years, Greentech Innovations' Other Operating Expenses was $29,248 in FY2024 (+0.2%), $29,200 in FY2023 (+3.2%), $28,284 in FY2022 (+1.1%) and $27,982 in FY2021 (-5.0%).
- Quarterly Other Operating Expenses has run from a low of $2,948 in fiscal Q4 2024 to a high of $16,777 in fiscal Q1 2025 over five years.
- On a year-over-year basis, Other Operating Expenses increased in four of the last eight quarters, with an average decline of 3.0%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q2 2022, with growth of 80.0%; the weakest was fiscal Q1 2026, with a decline of 40.4%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $5,500 (Q2 2026), $10,000 (Q1 2026) and $3,750 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn |
| 10 | Greentech Innovations | 1.00 Mn | 1.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 4,750.00 |
| Nov 30, 2025 | 5,500.00 |
| Aug 31, 2025 | 10,000.00 |
| May 31, 2025 | 3,750.00 |
| Feb 28, 2025 | 3,750.00 |
| Nov 30, 2024 | 3,500.00 |
| Aug 31, 2024 | 16,777.00 |
| May 31, 2024 | 2,948.00 |
| Feb 29, 2024 | 5,300.00 |
| Nov 30, 2023 | 5,300.00 |
| Aug 31, 2023 | 15,700.00 |
| May 31, 2023 | 4,750.00 |
| Feb 28, 2023 | 4,500.00 |
| Nov 30, 2022 | 4,250.00 |
| Aug 31, 2022 | 15,700.00 |
| May 31, 2022 | 4,250.00 |
| Feb 28, 2022 | 4,250.00 |
| Nov 30, 2021 | 6,750.00 |
| Aug 31, 2021 | 13,034.00 |
| May 31, 2021 | 4,250.00 |
Greentech Innovations Other 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=other-operating-expenses&ticker=GTIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=GTIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();