Greentech Innovations (GTIC) Non Operating Interest Expenses (2019 - 2026)
Greentech Innovations (GTIC) posted Non Operating Interest Expenses of $7,286 for fiscal Q3 2026 (quarter ended Feb 28, 2026), unchanged from $7,286 a year earlier and down 1.1% from the prior quarter.
Greentech Innovations (GTIC) Non Operating Interest Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Feb 28, 2026, Non Operating Interest Expenses at Greentech Innovations was $29,551, unchanged year-over-year; for FY2025 (ended May 31, 2025), it came in at $29,551, down 0.3% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of -25.6% (FY2020 to FY2025).
- In prior fiscal years, Greentech Innovations' Non Operating Interest Expenses was $29,632 in FY2024 (+0.3%), $29,551 in FY2023 (unchanged), $29,551 in FY2022 (-45.1%) and $53,805 in FY2021 (-58.6%).
- Quarterly Non Operating Interest Expenses has run from a low of $7,286 in fiscal Q3 2022 to a high of $7,449 in fiscal Q4 2025 over five years.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was fiscal Q3 2024, with growth of 1.1%; the weakest was fiscal Q4 2021, with a decline of 87.0%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior fiscal quarters was $7,368 (Q2 2026), $7,448 (Q1 2026) and $7,449 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 13.00 Mn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 13.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 22.08 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 66.46 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 76.25 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | - |
| 10 | Greentech Innovations | 527,633.25 | 527,633.25 | - | 7,286.00 |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 7,286.00 |
| Nov 30, 2025 | 7,368.00 |
| Aug 31, 2025 | 7,448.00 |
| May 31, 2025 | 7,449.00 |
| Feb 28, 2025 | 7,286.00 |
| Nov 30, 2024 | 7,368.00 |
| Aug 31, 2024 | 7,448.00 |
| May 31, 2024 | 7,449.00 |
| Feb 29, 2024 | 7,367.00 |
| Nov 30, 2023 | 7,368.00 |
| Aug 31, 2023 | 7,448.00 |
| May 31, 2023 | 7,449.00 |
| Feb 28, 2023 | 7,286.00 |
| Nov 30, 2022 | 7,368.00 |
| Aug 31, 2022 | 7,448.00 |
| May 31, 2022 | 7,449.00 |
| Feb 28, 2022 | 7,286.00 |
| Nov 30, 2021 | 7,368.00 |
| Aug 31, 2021 | 7,448.00 |
| May 31, 2021 | 7,449.00 |
Greentech Innovations Non Operating Interest 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=non-operating-interest-expenses&ticker=GTIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=GTIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();