Netskope (NTSK) Other Operating Expenses (2024 - 2026)
Netskope (NTSK) reported Other Operating Expenses of $105.92 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 35.7% from $78.05 million a year earlier and up 0.2% from the prior quarter.
Netskope (NTSK) Other Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Netskope's Other Operating Expenses came in at $457.91 million, up 65.5% year-over-year; for FY2026 (ended Jan 31, 2026), it was $393.74 million, up 40.2% from FY2025.
- By fiscal year, Other Operating Expenses came in at $280.83 million in FY2025 (+6.7%) and $263.1 million in FY2024.
- Five-year quarterly Other Operating Expenses spans a low of $63.44 million in fiscal Q4 2025 and a high of $149.87 million in fiscal Q3 2026.
- Year over year, Other Operating Expenses has now increased in each of the last four quarters, with growth averaging 67.0% over the last four quarters.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $105.68 million (Q1 2027), $96.45 million (Q4 2026) and $149.87 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | Netskope | 7.28 Bn | 2.80 Bn | 163.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 105.92 Mn |
| Apr 30, 2026 | 105.68 Mn |
| Jan 31, 2026 | 96.45 Mn |
| Oct 31, 2025 | 149.87 Mn |
| Jul 31, 2025 | 78.05 Mn |
| Apr 30, 2025 | 69.38 Mn |
| Jan 31, 2025 | 63.44 Mn |
| Oct 31, 2024 | 65.77 Mn |
Netskope 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=NTSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "NTSK", "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=NTSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();