Intelligent Protection Management (IPM) Enterprise Value (2010 - 2026)
Intelligent Protection Management (IPM) posted Enterprise Value of $17.45 million for Q2 2026, down 4.8% from $18.33 million a year earlier but up 21.9% from the prior quarter.
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Analysis
Intelligent Protection Management (IPM) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Intelligent Protection Management was -$1.14 million; for FY2025, it came in at $17.02 million, up 8.0% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of 30.5% (FY2020 to FY2025).
- In prior years, Intelligent Protection Management's Enterprise Value was $15.75 million in FY2024 (-9.5%), $17.41 million in FY2023, -$2.56 million in FY2022 and $418,895 in FY2021 (-90.7%).
- Quarterly Enterprise Value has run from a low of -$2.56 million in Q4 2022 to a high of $76.38 million in Q3 2021 over five years.
- On a year-over-year basis, Enterprise Value increased in two of the last eight quarters, with growth averaging 6.0%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q1 2024, with growth of 385.2%; the weakest was Q4 2021, with a decline of 90.7%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $14.32 million (Q1 2026), $17.02 million (Q4 2025) and $18.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Intelligent Protection Management | 23.33 Mn | -487,682.59 | 2.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.45 Mn |
| Mar 31, 2026 | 14.32 Mn |
| Dec 31, 2025 | 17.02 Mn |
| Sep 30, 2025 | 18.77 Mn |
| Jun 30, 2025 | 18.33 Mn |
| Mar 31, 2025 | 15.12 Mn |
| Dec 31, 2024 | 15.75 Mn |
| Sep 30, 2024 | 30.70 Mn |
| Jun 30, 2024 | 40.42 Mn |
| Mar 31, 2024 | 27.72 Mn |
| Dec 31, 2023 | 17.41 Mn |
| Sep 30, 2023 | 10.29 Mn |
| Jun 30, 2023 | 3.59 Mn |
| Mar 31, 2023 | 5.71 Mn |
| Dec 31, 2022 | -2.56 Mn |
| Sep 30, 2022 | -1.13 Mn |
| Jun 30, 2022 | 2.40 Mn |
| Mar 31, 2022 | 5.06 Mn |
| Dec 31, 2021 | 418,894.57 |
| Sep 30, 2021 | 76.38 Mn |
API Access
Intelligent Protection Management Enterprise Value 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=enterprise-value&ticker=IPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=IPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();