Netscout Systems (NTCT) Shares Outstanding (Entity) (2010 - 2026)
Netscout Systems (NTCT) posted Shares Outstanding (Entity) of 71.46 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), down 0.8% from 72.06 million a year earlier and down 1.0% from the prior quarter.
Netscout Systems (NTCT) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
Since fiscal Q1 2011, Netscout Systems has reported Shares Outstanding (Entity) for 64 quarters.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of -0.6% (FY2021 to FY2026).
- In prior fiscal years, Netscout Systems' Shares Outstanding (Entity) was 72.06 million in FY2025 (+0.9%), 71.4 million in FY2024 (+0.2%), 71.25 million in FY2023 (-3.9%) and 74.1 million in FY2022 (+0.5%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Shares Outstanding (Entity) since fiscal Q1 2025.
- On a year-over-year basis, Shares Outstanding (Entity) increased in five of the last eight quarters, with growth averaging 0.4%.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was fiscal Q1 2022, with growth of 2.2%; the weakest was fiscal Q3 2023, with a decline of 3.9%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior fiscal quarters was 72.22 million (Q3 2026), 72.19 million (Q2 2026) and 72.52 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 815.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 733.60 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 352.46 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 358.96 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 167.14 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 81.24 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 163.06 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | Netscout Systems | 2.87 Bn | 581.12 Mn | - | 71.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 71.46 Mn |
| Dec 31, 2025 | 72.22 Mn |
| Sep 30, 2025 | 72.19 Mn |
| Jun 30, 2025 | 72.52 Mn |
| Mar 31, 2025 | 72.06 Mn |
| Dec 31, 2024 | 71.75 Mn |
| Sep 30, 2024 | 71.72 Mn |
| Jun 30, 2024 | 71.31 Mn |
| Mar 31, 2024 | 71.40 Mn |
| Dec 31, 2023 | 71.02 Mn |
| Sep 30, 2023 | 71.70 Mn |
| Jun 30, 2023 | 72.15 Mn |
| Mar 31, 2023 | 71.25 Mn |
| Dec 31, 2022 | 70.96 Mn |
| Sep 30, 2022 | 72.24 Mn |
| Jun 30, 2022 | 71.48 Mn |
| Mar 31, 2022 | 74.10 Mn |
| Dec 31, 2021 | 73.83 Mn |
| Sep 30, 2021 | 74.22 Mn |
| Jun 30, 2021 | 74.08 Mn |
Netscout Systems Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=NTCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=NTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();