Intelligent Protection Management (IPM) Gross Margin (2010 - 2026)
Intelligent Protection Management (IPM) reported Gross Margin of 41.33% for Q2 2026, down 8.74 percentage points from 50.07% a year earlier and down 7.37 percentage points from the prior quarter.
Intelligent Protection Management (IPM) Gross Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Intelligent Protection Management's Gross Margin came in at 48.38%, down 5.41 percentage points year-over-year; for FY2025, it was 52.26%, down 23.81 percentage points from FY2024.
- Gross Margin has a five-year change of -27.69 percentage points (FY2020 to FY2025).
- By year, Gross Margin came in at 76.06% in FY2024 (+5.68 pp), 70.39% in FY2023 (-3.92 pp), 74.31% in FY2022 (-5.20 pp) and 79.51% in FY2021 (-0.44 pp).
- The Q2 2026 figure ranks as the lowest quarterly Gross Margin in data going back to Q2 2010.
- Year over year, Gross Margin has now declined in each of the last six quarters, with an average year-over-year change of -14.43 percentage points over the last seven quarters.
- The high point for year-over-year Gross Margin in five years was Q3 2024 (a gain of 9.41 percentage points); the low point was Q3 2025 (a drop of 28.86 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 48.70% (Q1 2026), 53.14% (Q4 2025) and 50.68% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 31.48% |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 33.37% |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 6.84% |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 20.08% |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 11.26% |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 10.43% |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 6.60% |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 30.36% |
| 10 | Intelligent Protection Management | 23.33 Mn | -487,682.59 | 2.67 Mn | 41.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.33% |
| Mar 31, 2026 | 48.70% |
| Dec 31, 2025 | 53.14% |
| Sep 30, 2025 | 50.68% |
| Jun 30, 2025 | 50.07% |
| Mar 31, 2025 | 55.33% |
| Dec 31, 2024 | 74.32% |
| Sep 30, 2024 | 79.54% |
| Jun 30, 2024 | 73.09% |
| Mar 31, 2024 | 77.30% |
| Sep 30, 2023 | 70.13% |
| Jun 30, 2023 | 73.82% |
| Mar 31, 2023 | 68.70% |
| Dec 31, 2022 | 73.72% |
| Sep 30, 2022 | 70.45% |
| Jun 30, 2022 | 74.98% |
| Mar 31, 2022 | 77.72% |
| Dec 31, 2021 | 77.53% |
| Sep 30, 2021 | 77.96% |
| Jun 30, 2021 | 81.54% |
Intelligent Protection Management Gross 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=gross-margin&ticker=IPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=IPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();