Netskope (NTSK) Other Accumulated Expenses (2025 - 2026)
Netskope's Other Accumulated Expenses came in at $13.72 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 13.1% from the prior quarter.
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Analysis
Netskope (NTSK) Other Accumulated Expenses (2025 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Netskope's Other Accumulated Expenses was $17.77 million, up 50.3% from FY2025.
- Going back by fiscal year, Other Accumulated Expenses was $11.83 million in FY2025.
- The five-year range for quarterly Other Accumulated Expenses is $7.47 million (fiscal Q3 2026) to $17.77 million (fiscal Q4 2026).
- Business Quant data shows NTSK's Other Accumulated Expenses at $12.13 million (Q1 2027), $17.77 million (Q4 2026) and $7.47 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 13.72 Mn |
| Apr 30, 2026 | 12.13 Mn |
| Jan 31, 2026 | 17.77 Mn |
| Oct 31, 2025 | 7.47 Mn |
| Jan 31, 2025 | 11.83 Mn |
API Access
Netskope Other Accumulated 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-accumulated-expenses&ticker=NTSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=NTSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();