Intelligent Protection Management (IPM) Other Operating Expenses (2010 - 2026)
Intelligent Protection Management's Other Operating Expenses was $382,861 in Q2 2026, down 91.0% from $4.25 million a year earlier but up 276.8% from the prior quarter.
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Analysis
Intelligent Protection Management (IPM) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Intelligent Protection Management's Other Operating Expenses was $1.2 million through Jun 30, 2026, down 82.6% year-over-year; for FY2025, it came in at $717,780, down 37.4% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of -26.7% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $1.15 million in FY2024 (+204.2%), $376,831 in FY2023 (-91.4%), $4.4 million in FY2022 (-5.4%) and $4.66 million in FY2021 (+37.0%).
- Quarterly Other Operating Expenses has moved between -$2.71 million (Q4 2023) and $4.25 million (Q2 2025) over five years.
- Compared with a year earlier, Other Operating Expenses has declined for three straight quarters, with an average decline of 10.3% over the last four quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q1 2025 (growth of 182.6%); the worst was Q1 2024 (a decline of 94.4%).
- Per Business Quant data, IPM's Other Operating Expenses in the three quarters before Q2 2026 was $101,609 (Q1 2026), $210,599 (Q4 2025) and $507,181 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Intelligent Protection Management | 23.33 Mn | -487,682.59 | 2.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 382,861.00 |
| Mar 31, 2026 | 101,609.00 |
| Dec 31, 2025 | 210,599.00 |
| Sep 30, 2025 | 507,181.00 |
| Jun 30, 2025 | 4.25 Mn |
| Mar 31, 2025 | 167,629.00 |
| Dec 31, 2024 | 3.20 Mn |
| Sep 30, 2024 | -697,995.00 |
| Jun 30, 2024 | 315,889.00 |
| Mar 31, 2024 | 59,311.00 |
| Dec 31, 2023 | -2.71 Mn |
| Sep 30, 2023 | 1.04 Mn |
| Jun 30, 2023 | 343,045.00 |
| Mar 31, 2023 | 1.06 Mn |
| Dec 31, 2022 | 1.04 Mn |
| Sep 30, 2022 | 1.15 Mn |
| Jun 30, 2022 | -38,772.00 |
| Mar 31, 2022 | -7,886.00 |
| Dec 31, 2021 | 1.04 Mn |
| Jun 30, 2021 | 1.07 Mn |
API Access
Intelligent Protection Management Other Operating Expenses 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=other-operating-expenses&ticker=IPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=IPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();