Netscout Systems (NTCT) Shares Outstanding (2010 - 2026)
Netscout Systems (NTCT) reported Shares Outstanding of 72.21 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 0.8% from 71.63 million a year earlier and unchanged from the prior quarter.
Netscout Systems (NTCT) Shares Outstanding (2010 - 2026) Analysis & Trends
Dating back to fiscal Q1 2011, Netscout Systems' Shares Outstanding record includes 64 quarters.
- Shares Outstanding has a five-year compound annual growth rate of -0.2% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding came in at 71.63 million in FY2025 (+0.2%), 71.47 million in FY2024 (-0.4%), 71.78 million in FY2023 (-3.0%) and 74.02 million in FY2022 (+1.3%).
- Five-year quarterly Shares Outstanding spans a low of 71.08 million in fiscal Q3 2024 and a high of 74.38 million in fiscal Q2 2022.
- Year over year, Shares Outstanding has now increased in each of the last six quarters, with growth averaging 0.4% over the last eight quarters.
- The high point for year-over-year Shares Outstanding in five years was fiscal Q1 2022 (growth of 2.2%); the low point was fiscal Q2 2023 (a decline of 3.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 72.21 million (Q3 2026), 72.08 million (Q2 2026) and 71.73 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 749.00 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 | 733.10 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 356.25 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 174.30 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 80.57 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 34.38 Mn |
| 10 | Netscout Systems | 2.87 Bn | 581.12 Mn | - | 72.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 72.21 Mn |
| Dec 31, 2025 | 72.21 Mn |
| Sep 30, 2025 | 72.08 Mn |
| Jun 30, 2025 | 71.73 Mn |
| Mar 31, 2025 | 71.63 Mn |
| Dec 31, 2024 | 71.74 Mn |
| Sep 30, 2024 | 71.45 Mn |
| Jun 30, 2024 | 71.47 Mn |
| Mar 31, 2024 | 71.47 Mn |
| Dec 31, 2023 | 71.08 Mn |
| Sep 30, 2023 | 72.11 Mn |
| Jun 30, 2023 | 71.54 Mn |
| Mar 31, 2023 | 71.78 Mn |
| Dec 31, 2022 | 71.74 Mn |
| Sep 30, 2022 | 71.86 Mn |
| Jun 30, 2022 | 72.45 Mn |
| Mar 31, 2022 | 74.02 Mn |
| Dec 31, 2021 | 73.90 Mn |
| Sep 30, 2021 | 74.38 Mn |
| Jun 30, 2021 | 73.86 Mn |
Netscout Systems Shares Outstanding 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&ticker=NTCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=NTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();