Intelligent Protection Management (IPM) Net Margin (2010 - 2026)
Intelligent Protection Management's Net Margin came in at -20.91% for Q2 2026, down 2.56 percentage points from -18.35% a year earlier and down 10.52 percentage points from the prior quarter.
Intelligent Protection Management (IPM) Net Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Intelligent Protection Management reported Net Margin of -14.80%, up 46.59 percentage points year-over-year; for FY2025, it was -8.29%, up 758.93 percentage points from FY2024.
- Net Margin carries a five-year change of -18.97 percentage points (FY2020 to FY2025).
- Going back by year, Net Margin was -767.22% in FY2024 (-656.27 pp), -110.95% in FY2023 (-79.90 pp), -31.05% in FY2022 (-41.03 pp) and 9.98% in FY2021 (-0.71 pp).
- The Q2 2026 figure represents the lowest quarterly Net Margin since Q4 2024.
- Year-over-year, Net Margin increased in four of the last seven quarters, with an average year-over-year change of +347.83 percentage points.
- The fastest year-over-year change in Net Margin over five years came in Q4 2025 (a gain of 1951.44 percentage points), and the weakest in Q3 2024 (a drop of 541.42 percentage points).
- Business Quant data shows IPM's Net Margin at -10.39% (Q1 2026), -10.30% (Q4 2025) and -17.36% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.23 Bn | 37.72 Bn | 1.60 Bn | 1,528.73% |
| 2 | Cognizant Technology Solutions | 31.84 Bn | 25.00 Bn | 1.83 Bn | 11.60% |
| 3 | Wipro | 20.59 Bn | 15.29 Bn | 738.00 Mn | 13.73% |
| 4 | Cdw | 19.60 Bn | 17.59 Bn | 1.32 Bn | 4.18% |
| 5 | Td Synnex | 19.55 Bn | 13.70 Bn | 1.43 Bn | 1.93% |
| 6 | Cgi | 17.25 Bn | 15.05 Bn | - | 11.09% |
| 7 | Arrow Electronics | 10.82 Bn | 9.77 Bn | 1.13 Bn | 2.73% |
| 8 | Avnet | 7.36 Bn | 6.54 Bn | 865.03 Mn | 1.53% |
| 9 | EPAM Systems | 6.76 Bn | 2.40 Bn | 429.57 Mn | 7.28% |
| 10 | Intelligent Protection Management | 22.42 Mn | -1.40 Mn | 2.67 Mn | -20.91% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -20.91% |
| Mar 31, 2026 | -10.39% |
| Dec 31, 2025 | -10.30% |
| Sep 30, 2025 | -17.36% |
| Jun 30, 2025 | -18.35% |
| Mar 31, 2025 | 14.65% |
| Dec 31, 2024 | -1,961.74% |
| Sep 30, 2024 | -547.98% |
| Jun 30, 2024 | -344.19% |
| Mar 31, 2024 | -181.28% |
| Sep 30, 2023 | -6.56% |
| Jun 30, 2023 | 4.59% |
| Mar 31, 2023 | -28.79% |
| Dec 31, 2022 | -17.68% |
| Sep 30, 2022 | -40.04% |
| Jun 30, 2022 | -42.68% |
| Mar 31, 2022 | -25.25% |
| Dec 31, 2021 | -0.17% |
| Sep 30, 2021 | -12.11% |
| Jun 30, 2021 | 24.06% |
Intelligent Protection Management Net Margin 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=net-margin&ticker=IPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=IPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();