Netskope (NTSK) Capital Expenditures (2025 - 2026)
Netskope (NTSK) reported Capital Expenditures of $13 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 698.7% from $1.63 million a year earlier and up 502.3% from the prior quarter.
Netskope (NTSK) Capital Expenditures (2025 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Netskope's Capital Expenditures came in at $29.04 million; for FY2026 (ended Jan 31, 2026), it was $22.92 million, down 32.0% from FY2025.
- By fiscal year, Capital Expenditures came in at $33.7 million in FY2025 (+10.1%) and $30.61 million in FY2024.
- Five-year quarterly Capital Expenditures spans a low of $525,000 in fiscal Q3 2026 and a high of $13.36 million in fiscal Q4 2026.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $2.16 million (Q1 2027), $13.36 million (Q4 2026) and $525,000 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -1.68 Bn |
| 10 | Netskope | 7.11 Bn | 2.63 Bn | 163.02 Mn | 13.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 13.00 Mn |
| Apr 30, 2026 | 2.16 Mn |
| Jan 31, 2026 | 13.36 Mn |
| Oct 31, 2025 | 525,000.00 |
| Jul 31, 2025 | 1.63 Mn |
| Apr 30, 2025 | 7.41 Mn |
| Jan 31, 2025 | 1.26 Mn |
Netskope Capital Expenditures 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=capital-expenditures&ticker=NTSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=NTSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();