Intelligent Protection Management (IPM) Intangibles (2015 - 2026)
Intelligent Protection Management's Intangibles came in at $7.91 million for Q2 2026, down 8.7% from $8.66 million a year earlier and unchanged from the prior quarter.
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Analysis
Intelligent Protection Management (IPM) Intangibles (2015 - 2026) Analysis & Trends
At the end of FY2025, Intelligent Protection Management's Intangibles was $7.72 million, up 310.0% from FY2024.
- Intangibles carries a five-year compound annual growth rate of 82.5% (FY2020 to FY2025).
- Going back by year, Intangibles was $1.88 million in FY2024 (-30.4%), $2.7 million in FY2023 (-23.3%), $3.53 million in FY2022 and $196,543 in FY2021 (-48.4%).
- The five-year range for quarterly Intangibles is $150,377 (Q1 2022) to $9.21 million (Q1 2025).
- Year-over-year, Intangibles increased in four of the last eight quarters, with growth averaging 133.4%.
- The fastest year-over-year change in Intangibles over five years came in Q4 2025 (growth of 310.0%), and the weakest in Q4 2021 (a decline of 48.4%).
- Business Quant data shows IPM's Intangibles at $7.91 million (Q1 2026), $7.72 million (Q4 2025) and $8.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 486.00 Mn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 1.68 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 3.64 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 1.10 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 590.76 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 67.51 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 662.83 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 372.97 Mn |
| 10 | Intelligent Protection Management | 23.33 Mn | -487,682.59 | 2.67 Mn | 7.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.91 Mn |
| Mar 31, 2026 | 7.91 Mn |
| Dec 31, 2025 | 7.72 Mn |
| Sep 30, 2025 | 8.19 Mn |
| Jun 30, 2025 | 8.66 Mn |
| Mar 31, 2025 | 9.21 Mn |
| Dec 31, 2024 | 1.88 Mn |
| Sep 30, 2024 | 2.09 Mn |
| Jun 30, 2024 | 2.29 Mn |
| Mar 31, 2024 | 2.50 Mn |
| Dec 31, 2023 | 2.70 Mn |
| Sep 30, 2023 | 2.91 Mn |
| Jun 30, 2023 | 3.12 Mn |
| Mar 31, 2023 | 3.32 Mn |
| Dec 31, 2022 | 3.53 Mn |
| Sep 30, 2022 | 3.80 Mn |
| Jun 30, 2022 | 3.80 Mn |
| Mar 31, 2022 | 150,377.00 |
| Dec 31, 2021 | 196,543.00 |
| Sep 30, 2021 | 242,710.00 |
API Access
Intelligent Protection Management Intangibles 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=intangibles&ticker=IPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=IPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();