Netscout Systems (NTCT) Research & Development (2010 - 2025)
Netscout Systems' Research & Development was $39.64 million in fiscal Q3 2026 (quarter ended Dec 31, 2025), up 5.0% from $37.75 million a year earlier but down 1.6% from the prior quarter.
Netscout Systems (NTCT) Research & Development (2010 - 2025) Analysis & Trends
On a trailing twelve-month basis, Netscout Systems' Research & Development was $156.43 million through Dec 31, 2025, down 2.0% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $152.86 million, down 5.2% from FY2024.
- Research & Development shows a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- In earlier fiscal years, Research & Development was $161.21 million in FY2024 (-8.5%), $176.17 million in FY2023 (+2.9%), $171.13 million in FY2022 (-4.5%) and $179.16 million in FY2021 (-4.8%).
- Quarterly Research & Development has moved between $35.11 million (fiscal Q2 2024) and $46.24 million (fiscal Q4 2023) over five years.
- Compared with a year earlier, Research & Development was higher in four of the last eight quarters, with an average decline of 1.6%.
- The best year-over-year quarter for Research & Development over five years was fiscal Q2 2026 (growth of 12.1%); the worst was fiscal Q2 2024 (a decline of 20.0%).
- Per Business Quant data, NTCT's Research & Development in the three fiscal quarters before Q3 2026 was $40.27 million (Q2 2026), $39.79 million (Q1 2026) and $36.74 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | Netscout Systems | 2.82 Bn | 526.09 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 39.64 Mn |
| Sep 30, 2025 | 40.27 Mn |
| Jun 30, 2025 | 39.79 Mn |
| Mar 31, 2025 | 36.74 Mn |
| Dec 31, 2024 | 37.75 Mn |
| Sep 30, 2024 | 35.91 Mn |
| Jun 30, 2024 | 42.47 Mn |
| Mar 31, 2024 | 43.56 Mn |
| Dec 31, 2023 | 37.02 Mn |
| Sep 30, 2023 | 35.11 Mn |
| Jun 30, 2023 | 45.52 Mn |
| Mar 31, 2023 | 46.24 Mn |
| Dec 31, 2022 | 42.56 Mn |
| Sep 30, 2022 | 43.92 Mn |
| Jun 30, 2022 | 43.46 Mn |
| Mar 31, 2022 | 42.19 Mn |
| Dec 31, 2021 | 41.64 Mn |
| Sep 30, 2021 | 44.48 Mn |
| Jun 30, 2021 | 42.82 Mn |
| Mar 31, 2021 | 43.56 Mn |
Netscout Systems Research & Development 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=research-and-development&ticker=NTCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=NTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();