Netscout Systems (NTCT) Capital Expenditures (2010 - 2025)
Netscout Systems' Capital Expenditures came in at $2.82 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 51.4% from $1.86 million a year earlier and up 26.1% from the prior quarter.
Netscout Systems (NTCT) Capital Expenditures (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Dec 31, 2025, Netscout Systems reported Capital Expenditures of $8.32 million, up 48.0% year-over-year; for FY2025 (ended Mar 31, 2025), it was $5.41 million, down 15.0% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of -23.0% (FY2020 to FY2025).
- Going back by fiscal year, Capital Expenditures was $6.36 million in FY2024 (-39.3%), $10.48 million in FY2023 (+1.3%), $10.35 million in FY2022 (-13.6%) and $11.99 million in FY2021 (-39.8%).
- The fiscal Q3 2026 figure represents the highest quarterly Capital Expenditures since fiscal Q3 2023.
- Year-over-year, Capital Expenditures has increased for three consecutive quarters, with growth averaging 23.4% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q2 2026 (growth of 153.2%), and the weakest in fiscal Q3 2024 (a decline of 60.5%).
- Business Quant data shows NTCT's Capital Expenditures at $2.23 million (Q2 2026), $1.88 million (Q1 2026) and $1.4 million (Q4 2025) in the three fiscal quarters before 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 | Netscout Systems | 2.87 Bn | 581.12 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.82 Mn |
| Sep 30, 2025 | 2.23 Mn |
| Jun 30, 2025 | 1.88 Mn |
| Mar 31, 2025 | 1.40 Mn |
| Dec 31, 2024 | 1.86 Mn |
| Sep 30, 2024 | 882,000.00 |
| Jun 30, 2024 | 1.27 Mn |
| Mar 31, 2024 | 1.62 Mn |
| Dec 31, 2023 | 1.25 Mn |
| Sep 30, 2023 | 1.54 Mn |
| Jun 30, 2023 | 1.96 Mn |
| Mar 31, 2023 | 2.10 Mn |
| Dec 31, 2022 | 3.17 Mn |
| Sep 30, 2022 | 3.01 Mn |
| Jun 30, 2022 | 2.20 Mn |
| Mar 31, 2022 | 3.35 Mn |
| Dec 31, 2021 | 2.70 Mn |
| Sep 30, 2021 | 1.72 Mn |
| Jun 30, 2021 | 2.58 Mn |
| Mar 31, 2021 | 2.88 Mn |
Netscout Systems 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=NTCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=NTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();