Netscout Systems (NTCT) Amortization - Intangibles (2010 - 2025)
Netscout Systems (NTCT) reported Amortization - Intangibles of $11.16 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), down 3.8% from $11.6 million a year earlier and down 0.1% from the prior quarter.
Netscout Systems (NTCT) Amortization - Intangibles (2010 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Netscout Systems' Amortization - Intangibles came in at $45.02 million, down 5.0% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $46.44 million, down 7.7% from FY2024.
- Amortization - Intangibles has declined for seven consecutive fiscal years, with a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- By fiscal year, Amortization - Intangibles came in at $50.34 million in FY2024 (-9.1%), $55.39 million in FY2023 (-7.3%), $59.74 million in FY2022 (-2.3%) and $61.13 million in FY2021 (-5.2%).
- Five-year quarterly Amortization - Intangibles spans a low of $11.12 million in fiscal Q1 2026 and a high of $15.23 million in fiscal Q4 2021.
- Year over year, Amortization - Intangibles has now declined in each of the last 30 quarters, with an average decline of 6.6% over the last eight quarters.
- The year-over-year decline in Amortization - Intangibles has ranged between 1.7% (fiscal Q1 2022) and 9.7% (fiscal Q4 2024) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $11.16 million (Q2 2026), $11.12 million (Q1 2026) and $11.58 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Netscout Systems | 2.87 Bn | 581.12 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 11.16 Mn |
| Sep 30, 2025 | 11.16 Mn |
| Jun 30, 2025 | 11.12 Mn |
| Mar 31, 2025 | 11.58 Mn |
| Dec 31, 2024 | 11.60 Mn |
| Sep 30, 2024 | 11.64 Mn |
| Jun 30, 2024 | 11.61 Mn |
| Mar 31, 2024 | 12.55 Mn |
| Dec 31, 2023 | 12.53 Mn |
| Sep 30, 2023 | 12.55 Mn |
| Jun 30, 2023 | 12.71 Mn |
| Mar 31, 2023 | 13.89 Mn |
| Dec 31, 2022 | 13.82 Mn |
| Sep 30, 2022 | 13.80 Mn |
| Jun 30, 2022 | 13.88 Mn |
| Mar 31, 2022 | 14.85 Mn |
| Dec 31, 2021 | 14.92 Mn |
| Sep 30, 2021 | 14.97 Mn |
| Jun 30, 2021 | 15.01 Mn |
| Mar 31, 2021 | 15.23 Mn |
Netscout Systems Amortization - Intangibles 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=amortization-intangibles&ticker=NTCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=NTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();