Intelligent Protection Management (IPM) Shares Outstanding (Diluted) (2010 - 2026)
Intelligent Protection Management (IPM) recorded Weighted Average Shares Outstanding (Diluted) of 13.04 million in Q2 2026, down 1.3% from 13.2 million a year earlier and down 0.3% from the prior quarter.
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Analysis
Intelligent Protection Management (IPM) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Intelligent Protection Management reported Weighted Average Shares Outstanding (Diluted) of 13.15 million, up 42.5% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 9.23 million in FY2024 (+0.1%), 9.22 million in FY2023 (-4.3%), 9.64 million in FY2022 (+23.4%) and 7.81 million in FY2021 (+13.4%).
- The Q2 2026 figure is the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2024.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) rose in six of the last eight quarters, with growth averaging 21.1%.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 43.2% in Q2 2025, against a decline of 6.2% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 13.07 million (Q1 2026), 13.15 million (Q4 2025) and 13.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | 4.12 Bn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 466.00 Mn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 10.50 Bn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 125.70 Mn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | 225.49 Mn |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 79.41 Mn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 51.87 Mn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 51.47 Mn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 152.57 Mn |
| 10 | Intelligent Protection Management | 21.07 Mn | -2.75 Mn | 2.67 Mn | 13.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.04 Mn |
| Mar 31, 2026 | 13.07 Mn |
| Dec 31, 2025 | 13.15 Mn |
| Sep 30, 2025 | 13.11 Mn |
| Jun 30, 2025 | 13.20 Mn |
| Mar 31, 2025 | 13.19 Mn |
| Dec 31, 2024 | 9.23 Mn |
| Sep 30, 2024 | 9.23 Mn |
| Jun 30, 2024 | 9.22 Mn |
| Mar 31, 2024 | 9.22 Mn |
| Dec 31, 2023 | 9.22 Mn |
| Sep 30, 2023 | 9.22 Mn |
| Jun 30, 2023 | 9.22 Mn |
| Mar 31, 2023 | 9.22 Mn |
| Dec 31, 2022 | 9.64 Mn |
| Sep 30, 2022 | 9.72 Mn |
| Jun 30, 2022 | 9.77 Mn |
| Mar 31, 2022 | 9.83 Mn |
| Dec 31, 2021 | 7.81 Mn |
| Sep 30, 2021 | 7.72 Mn |
API Access
Intelligent Protection Management Shares Outstanding (Diluted) 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-diluted&ticker=IPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "IPM", "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-diluted&ticker=IPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();