Netsol Technologies (NTWK) Operating Expenses (2010 - 2025)
Netsol Technologies (NTWK) reported Operating Expenses of $7.73 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 4.3% from $7.41 million a year earlier but down 0.3% from the prior quarter.
Netsol Technologies (NTWK) Operating Expenses (2010 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Netsol Technologies' Operating Expenses came in at $29.82 million, up 4.4% year-over-year; for FY2025 (ended Jun 30, 2025), it was $29.07 million, up 12.7% from FY2024.
- Operating Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $25.79 million in FY2024 (+0.4%), $25.7 million in FY2023 (+3.5%), $24.82 million in FY2022 (+5.0%) and $23.63 million in FY2021 (-8.7%).
- Five-year quarterly Operating Expenses spans a low of $5.64 million in fiscal Q3 2023 and a high of $7.75 million in fiscal Q1 2026.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 9.4%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2025 (growth of 26.0%); the low point was fiscal Q3 2023 (a decline of 11.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $7.75 million (Q1 2026), $7.15 million (Q4 2025) and $7.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Netsol Technologies | 63.44 Mn | -7.51 Mn | 9.03 Mn | 7.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 7.73 Mn |
| Sep 30, 2025 | 7.75 Mn |
| Jun 30, 2025 | 7.15 Mn |
| Mar 31, 2025 | 7.19 Mn |
| Dec 31, 2024 | 7.41 Mn |
| Sep 30, 2024 | 7.32 Mn |
| Jun 30, 2024 | 7.67 Mn |
| Mar 31, 2024 | 6.16 Mn |
| Dec 31, 2023 | 6.15 Mn |
| Sep 30, 2023 | 5.81 Mn |
| Jun 30, 2023 | 7.72 Mn |
| Mar 31, 2023 | 5.64 Mn |
| Dec 31, 2022 | 6.19 Mn |
| Sep 30, 2022 | 6.15 Mn |
| Jun 30, 2022 | 6.37 Mn |
| Mar 31, 2022 | 6.37 Mn |
| Dec 31, 2021 | 5.99 Mn |
| Sep 30, 2021 | 6.08 Mn |
| Jun 30, 2021 | 6.37 Mn |
| Mar 31, 2021 | 5.96 Mn |
Netsol Technologies 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=NTWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NTWK", "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=NTWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();