Intelligent Protection Management (IPM) Amortizatization of Intangibles (2016 - 2026)
Intelligent Protection Management's Amortizatization of Intangibles was $362,391 in Q2 2026, down 34.4% from $552,111 a year earlier and unchanged from the prior quarter.
Intelligent Protection Management (IPM) Amortizatization of Intangibles (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Intelligent Protection Management's Amortizatization of Intangibles was $1.67 million through Jun 30, 2026, up 8.3% year-over-year; for FY2025, it was $2.07 million, up 152.4% from FY2024.
- Amortizatization of Intangibles shows a five-year compound annual growth rate of 53.1% (FY2020 to FY2025).
- In earlier years, Amortizatization of Intangibles was $821,696 in FY2024 (-0.1%), $822,334 in FY2023 (+36.8%), $601,264 in FY2022 (+225.6%) and $184,667 in FY2021 (-25.1%).
- Quarterly Amortizatization of Intangibles has moved between $46,166 (Q1 2022) and $578,065 (Q1 2025) over five years.
- Compared with a year earlier, Amortizatization of Intangibles was higher in four of the last eight quarters, with growth averaging 67.2%.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q4 2022 (growth of 467.5%); the worst was Q1 2026 (a decline of 37.3%).
- Per Business Quant data, IPM's Amortizatization of Intangibles in the three quarters before Q2 2026 was $362,389 (Q1 2026), $471,892 (Q4 2025) and $471,877 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | - |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | - |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | - |
| 10 | Intelligent Protection Management | 23.20 Mn | -618,039.75 | 2.67 Mn | 362,391.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 362,391.00 |
| Mar 31, 2026 | 362,389.00 |
| Dec 31, 2025 | 471,892.00 |
| Sep 30, 2025 | 471,877.00 |
| Jun 30, 2025 | 552,111.00 |
| Mar 31, 2025 | 578,065.00 |
| Dec 31, 2024 | 204,946.00 |
| Sep 30, 2024 | 205,583.00 |
| Jun 30, 2024 | 205,583.00 |
| Mar 31, 2024 | 205,583.00 |
| Dec 31, 2023 | 205,584.00 |
| Sep 30, 2023 | 205,584.00 |
| Jun 30, 2023 | 205,584.00 |
| Mar 31, 2023 | 205,584.00 |
| Dec 31, 2022 | 262,017.00 |
| Sep 30, 2022 | 206,725.00 |
| Jun 30, 2022 | 86,356.00 |
| Mar 31, 2022 | 46,166.00 |
| Dec 31, 2021 | 46,167.00 |
| Sep 30, 2021 | 46,167.00 |
Intelligent Protection Management Amortizatization of 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=amortizatization-of-intangibles&ticker=IPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=IPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();