Intelligent Protection Management (IPM) Cash & Equivalents (2010 - 2026)
Intelligent Protection Management's Cash & Equivalents came in at $5.23 million for Q2 2026, down 21.1% from $6.62 million a year earlier and down 7.9% from the prior quarter.
Intelligent Protection Management (IPM) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Intelligent Protection Management's Cash & Equivalents was $5.6 million, down 47.1% from FY2024.
- Cash & Equivalents has declined in each of the last four years, with a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $10.59 million in FY2024 (-22.0%), $13.57 million in FY2023 (-8.0%), $14.74 million in FY2022 (-31.9%) and $21.64 million in FY2021 (+287.4%).
- The Q2 2026 figure represents the lowest quarterly Cash & Equivalents since Q3 2020.
- Year-over-year, Cash & Equivalents has declined for 15 consecutive quarters, with an average decline of 32.1% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2021 (growth of 287.4%), and the weakest in Q2 2025 (a decline of 48.2%).
- Business Quant data shows IPM's Cash & Equivalents at $5.68 million (Q1 2026), $5.6 million (Q4 2025) and $7.32 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 1.09 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 361.80 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 452.29 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 244.63 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 155.40 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 808.97 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 789.40 Mn |
| 10 | Intelligent Protection Management | 23.33 Mn | -487,682.59 | 2.67 Mn | 5.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.23 Mn |
| Mar 31, 2026 | 5.68 Mn |
| Dec 31, 2025 | 5.60 Mn |
| Sep 30, 2025 | 7.32 Mn |
| Jun 30, 2025 | 6.62 Mn |
| Mar 31, 2025 | 7.83 Mn |
| Dec 31, 2024 | 10.59 Mn |
| Sep 30, 2024 | 12.06 Mn |
| Jun 30, 2024 | 12.80 Mn |
| Mar 31, 2024 | 13.05 Mn |
| Dec 31, 2023 | 13.57 Mn |
| Sep 30, 2023 | 13.67 Mn |
| Jun 30, 2023 | 13.65 Mn |
| Mar 31, 2023 | 13.93 Mn |
| Dec 31, 2022 | 14.74 Mn |
| Sep 30, 2022 | 15.50 Mn |
| Jun 30, 2022 | 16.85 Mn |
| Mar 31, 2022 | 20.40 Mn |
| Dec 31, 2021 | 21.64 Mn |
| Sep 30, 2021 | 10.71 Mn |
Intelligent Protection Management Cash & Equivalents 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=cash-and-equivalents&ticker=IPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=IPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();