Netscout Systems (NTCT) Price to Earnings (2011 - 2025)
Netscout Systems' (NTCT) Price to Earnings was 20.38 for fiscal Q3 2026 (quarter ended Dec 31, 2025), down 2.1% from the prior quarter.
Analysis
Netscout Systems (NTCT) Price to Earnings (2011 - 2025) Analysis & Trends
For FY2023 (ended Mar 31, 2023), Price to Earnings at Netscout Systems was 34.22, down 48.4% from FY2022.
- By fiscal year, Price to Earnings came in at 66.27 in FY2022 (-38.3%) and 107.32 in FY2021.
- The fiscal Q3 2026 figure ranks as the lowest quarterly Price to Earnings since fiscal Q2 2012.
- The year-over-year decline in Price to Earnings has ranged between 3.4% (fiscal Q3 2023) and 66.8% (fiscal Q3 2022) over the last five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn |
| 10 | Netscout Systems | 2.88 Bn | 591.84 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 20.38 |
| Sep 30, 2025 | 20.82 |
| Jun 30, 2025 | 24.72 |
| Sep 30, 2023 | 30.14 |
| Jun 30, 2023 | 35.68 |
| Mar 31, 2023 | 34.22 |
| Dec 31, 2022 | 42.36 |
| Sep 30, 2022 | 45.65 |
| Jun 30, 2022 | 60.37 |
| Mar 31, 2022 | 66.27 |
| Dec 31, 2021 | 43.83 |
| Sep 30, 2021 | 54.04 |
| Jun 30, 2021 | 83.14 |
| Mar 31, 2021 | 107.32 |
| Dec 31, 2020 | 132.04 |
| Sep 30, 2020 | 69.97 |
| Jun 30, 2020 | 201.98 |
| Dec 31, 2019 | 194.90 |
| Sep 30, 2018 | 111.67 |
| Jun 30, 2018 | 57.59 |
API Access
Netscout Systems Price to Earnings 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=price-to-earnings&ticker=NTCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=NTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();