Netskope (NTSK) Total Non-Current Liabilities (2025 - 2026)
Netskope (NTSK) recorded Total Non-Current Liabilities of $1.54 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.3% from the prior quarter.
Netskope (NTSK) Total Non-Current Liabilities (2025 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Netskope reported Total Non-Current Liabilities of $1.57 billion, up 17.2% from FY2025.
- Across earlier fiscal years, Total Non-Current Liabilities came in at $1.34 billion in FY2025.
- Quarterly Total Non-Current Liabilities has ranged from $1.34 billion in fiscal Q4 2025 to $1.57 billion in fiscal Q4 2026 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at $1.5 billion (Q1 2027), $1.57 billion (Q4 2026) and $1.56 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.68 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Netskope | 7.28 Bn | 2.80 Bn | 163.02 Mn | 1.54 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.54 Bn |
| Apr 30, 2026 | 1.50 Bn |
| Jan 31, 2026 | 1.57 Bn |
| Oct 31, 2025 | 1.56 Bn |
| Jan 31, 2025 | 1.34 Bn |
Netskope Total Non-Current 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-non-current-liabilities&ticker=NTSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=NTSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();