Netscout Systems (NTCT) Cash & Equivalents (2010 - 2026)
Netscout Systems (NTCT) recorded Cash & Equivalents of $586.5 million in fiscal Q4 2026 (quarter ended Mar 31, 2026), up 28.2% from $457.42 million a year earlier and up 8.5% from the prior quarter.
Netscout Systems (NTCT) Cash & Equivalents (2010 - 2026) Analysis & Trends
Starting with fiscal Q1 2011, Netscout Systems' Cash & Equivalents history includes 64 quarters.
- Annual Cash & Equivalents has increased for three straight fiscal years, with a five-year compound annual growth rate of 4.7% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $457.42 million in FY2025 (+17.4%), $389.67 million in FY2024 (+0.7%), $386.79 million in FY2023 (-39.2%) and $636.16 million in FY2022 (+36.2%).
- The fiscal Q4 2026 figure is the highest quarterly Cash & Equivalents since fiscal Q4 2022.
- On a year-over-year basis, Cash & Equivalents has increased for nine consecutive quarters, with growth averaging 27.8% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 36.2% in fiscal Q4 2022, against a decline of 39.2% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $540.64 million (Q3 2026), $483.38 million (Q2 2026) and $489.57 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | 928.35 Mn |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | 3.61 Bn |
| 10 | Netscout Systems | 2.88 Bn | 591.84 Mn | - | 586.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 586.50 Mn |
| Dec 31, 2025 | 540.64 Mn |
| Sep 30, 2025 | 483.38 Mn |
| Jun 30, 2025 | 489.57 Mn |
| Mar 31, 2025 | 457.42 Mn |
| Dec 31, 2024 | 398.36 Mn |
| Sep 30, 2024 | 363.36 Mn |
| Jun 30, 2024 | 362.21 Mn |
| Mar 31, 2024 | 389.67 Mn |
| Dec 31, 2023 | 297.66 Mn |
| Sep 30, 2023 | 279.94 Mn |
| Jun 30, 2023 | 332.72 Mn |
| Mar 31, 2023 | 386.79 Mn |
| Dec 31, 2022 | 352.04 Mn |
| Sep 30, 2022 | 320.33 Mn |
| Jun 30, 2022 | 332.50 Mn |
| Mar 31, 2022 | 636.16 Mn |
| Dec 31, 2021 | 548.11 Mn |
| Sep 30, 2021 | 468.47 Mn |
| Jun 30, 2021 | 487.17 Mn |
Netscout Systems Cash & Equivalents 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=cash-and-equivalents&ticker=NTCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "NTCT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=NTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();