Intelligent Protection Management (IPM) Market Capitalization (2010 - 2026)
Intelligent Protection Management (IPM) posted Market Capitalization of $22.68 million for Q2 2026, down 9.1% from $24.95 million a year earlier but up 13.4% from the prior quarter.
Intelligent Protection Management (IPM) Market Capitalization (2010 - 2026) Analysis & Trends
For FY2025, Intelligent Protection Management's Market Capitalization came in at $22.61 million, down 14.2% from FY2024.
- Annual Market Capitalization shows a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- In prior years, Intelligent Protection Management's Market Capitalization was $26.34 million in FY2024 (-15.0%), $30.97 million in FY2023 (+154.3%), $12.18 million in FY2022 (-44.8%) and $22.06 million in FY2021 (+118.7%).
- Quarterly Market Capitalization has run from a low of $12.18 million in Q4 2022 to a high of $87.09 million in Q3 2021 over five years.
- On a year-over-year basis, Market Capitalization has declined in each of the last seven quarters, with an average decline of 13.6% over the last eight quarters.
- The strongest year-over-year quarter for Market Capitalization in the past five years was Q2 2024, with growth of 208.6%; the weakest was Q3 2022, with a decline of 83.5%.
- According to Business Quant data, Market Capitalization for the three prior quarters was $20 million (Q1 2026), $22.61 million (Q4 2025) and $26.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 51.78 Bn | 38.28 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.66 Bn | 24.83 Bn | 1.83 Bn |
| 3 | Wipro | 21.27 Bn | 15.97 Bn | 738.00 Mn |
| 4 | Td Synnex | 19.73 Bn | 13.89 Bn | 1.43 Bn |
| 5 | Cdw | 19.69 Bn | 17.67 Bn | 1.32 Bn |
| 6 | Cgi | 17.54 Bn | 15.34 Bn | - |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn |
| 8 | Avnet | 7.50 Bn | 6.68 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.77 Bn | 2.41 Bn | 429.57 Mn |
| 10 | Intelligent Protection Management | 22.42 Mn | -1.40 Mn | 2.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.68 Mn |
| Mar 31, 2026 | 20.00 Mn |
| Dec 31, 2025 | 22.61 Mn |
| Sep 30, 2025 | 26.09 Mn |
| Jun 30, 2025 | 24.95 Mn |
| Mar 31, 2025 | 22.96 Mn |
| Dec 31, 2024 | 26.34 Mn |
| Sep 30, 2024 | 42.76 Mn |
| Jun 30, 2024 | 53.21 Mn |
| Mar 31, 2024 | 40.77 Mn |
| Dec 31, 2023 | 30.97 Mn |
| Sep 30, 2023 | 23.96 Mn |
| Jun 30, 2023 | 17.25 Mn |
| Mar 31, 2023 | 19.64 Mn |
| Dec 31, 2022 | 12.18 Mn |
| Sep 30, 2022 | 14.37 Mn |
| Jun 30, 2022 | 19.25 Mn |
| Mar 31, 2022 | 25.47 Mn |
| Dec 31, 2021 | 22.06 Mn |
| Sep 30, 2021 | 87.09 Mn |
Intelligent Protection Management Market Capitalization 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=market-capitalization&ticker=IPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=IPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();