Intelligent Protection Management (IPM) Operating Margin (2010 - 2026)
Intelligent Protection Management (IPM) recorded Operating Margin of -23.40% in Q2 2026, down 3.66 percentage points from -19.74% a year earlier and down 11.31 percentage points from the prior quarter.
Intelligent Protection Management (IPM) Operating Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Intelligent Protection Management's Operating Margin came in at -18.01% as of Jun 30, 2026, up 28.86 percentage points year-over-year; for FY2025, it came in at -19.99%, up 446.34 percentage points from FY2024.
- Annual Operating Margin has a five-year change of -29.67 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at -466.32% in FY2024 (-81.97 pp), -384.35% in FY2023 (-351.06 pp), -33.29% in FY2022 (-37.21 pp) and 3.91% in FY2021 (-5.77 pp).
- The Q2 2026 figure is the lowest quarterly Operating Margin since Q1 2025.
- On a year-over-year basis, Operating Margin rose in five of the last seven quarters, with an average year-over-year change of +180.48 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 550.49 percentage points in Q4 2025, against a drop of 525.97 percentage points in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -12.09% (Q1 2026), -13.37% (Q4 2025) and -23.02% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 21.09% |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 15.95% |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 2.65% |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 6.52% |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 3.78% |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 2.79% |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 1.62% |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 10.76% |
| 10 | Intelligent Protection Management | 23.33 Mn | -487,682.59 | 2.67 Mn | -23.40% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -23.40% |
| Mar 31, 2026 | -12.09% |
| Dec 31, 2025 | -13.37% |
| Sep 30, 2025 | -23.02% |
| Jun 30, 2025 | -19.74% |
| Mar 31, 2025 | -24.17% |
| Dec 31, 2024 | -563.86% |
| Sep 30, 2024 | -540.04% |
| Jun 30, 2024 | -387.26% |
| Mar 31, 2024 | -370.07% |
| Sep 30, 2023 | -14.07% |
| Jun 30, 2023 | -9.39% |
| Mar 31, 2023 | -35.45% |
| Dec 31, 2022 | -28.68% |
| Sep 30, 2022 | -40.42% |
| Jun 30, 2022 | -40.98% |
| Mar 31, 2022 | -24.37% |
| Dec 31, 2021 | -0.32% |
| Sep 30, 2021 | -13.52% |
| Jun 30, 2021 | 16.89% |
Intelligent Protection Management Operating 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=operating-margin&ticker=IPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=IPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();