Netskope (NTSK) Total Liabilities (2025 - 2026)
Netskope (NTSK) posted Total Liabilities of $1.56 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.6% from the prior quarter.
Netskope (NTSK) Total Liabilities (2025 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Netskope's Total Liabilities came in at $1.58 billion, up 17.4% from FY2025.
- In prior fiscal years, Netskope's Total Liabilities was $1.34 billion in FY2025.
- Quarterly Total Liabilities has run from a low of $1.34 billion in fiscal Q4 2025 to a high of $1.58 billion in fiscal Q4 2026 over five years.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $1.52 billion (Q1 2027), $1.58 billion (Q4 2026) and $1.56 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Netskope | 7.28 Bn | 2.80 Bn | 163.02 Mn | 1.56 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.56 Bn |
| Apr 30, 2026 | 1.52 Bn |
| Jan 31, 2026 | 1.58 Bn |
| Oct 31, 2025 | 1.56 Bn |
| Jan 31, 2025 | 1.34 Bn |
Netskope Total Liabilities 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=total-liabilities&ticker=NTSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NTSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();