Netskope (NTSK) EBITDA Margin (2025 - 2026)
Netskope (NTSK) recorded EBITDA Margin of -28.39% in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 15.88 percentage points from -12.51% a year earlier but up 12.96 percentage points from the prior quarter.
Netskope (NTSK) EBITDA Margin (2025 - 2026) Analysis & Trends
On a TTM basis, Netskope's EBITDA Margin came in at -81.97% as of Jul 31, 2026; for FY2026 (ended Jan 31, 2026), it was -77.92%, down 48.40 percentage points from FY2025.
- Across earlier fiscal years, EBITDA Margin came in at -29.53% in FY2025 (+26.76 pp) and -56.29% in FY2024.
- Quarterly EBITDA Margin has ranged from -229.46% in fiscal Q3 2026 to -11.74% in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA Margin has declined for three consecutive quarters.
- Per Business Quant, the preceding three fiscal quarters came in at -41.34% (Q1 2027), -45.53% (Q4 2026) and -229.46% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.32% |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 11.58% |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 40.40% |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -8.70% |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 4.19% |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 8.76% |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 20.62% |
| 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 | -28.39% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -28.39% |
| Apr 30, 2026 | -41.34% |
| Jan 31, 2026 | -45.53% |
| Oct 31, 2025 | -229.46% |
| Jul 31, 2025 | -12.51% |
| Apr 30, 2025 | -12.12% |
| Jan 31, 2025 | -11.74% |
Netskope EBITDA Margin 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=ebitda-margin&ticker=NTSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=NTSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();