Intelligent Protection Management (IPM) Cost of Revenue (2010 - 2026)
Intelligent Protection Management's Cost of Revenue was $3.79 million in Q2 2026, up 32.7% from $2.86 million a year earlier and up 16.3% from the prior quarter.
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Analysis
Intelligent Protection Management (IPM) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Intelligent Protection Management's Cost of Revenue was $13 million through Jun 30, 2026, up 138.6% year-over-year; for FY2025, it was $11.27 million.
- Cost of Revenue shows a five-year compound annual growth rate of 34.4% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $262,888 in FY2024 (-7.7%), $284,892 in FY2023 (-89.9%), $2.82 million in FY2022 (+3.8%) and $2.72 million in FY2021 (+5.7%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue since Q4 2015.
- The best year-over-year quarter for Cost of Revenue over five years was Q2 2026 (growth of 32.7%); the worst was Q3 2024 (a decline of 93.2%).
- Per Business Quant data, IPM's Cost of Revenue in the three quarters before Q2 2026 was $3.26 million (Q1 2026), $2.87 million (Q4 2025) and $3.08 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 3.48 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 3.65 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 20.13 Bn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 5.25 Bn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 8.87 Bn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 7.43 Bn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 13.57 Bn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 985.20 Mn |
| 10 | Intelligent Protection Management | 23.20 Mn | -618,039.75 | 2.67 Mn | 3.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.79 Mn |
| Mar 31, 2026 | 3.26 Mn |
| Dec 31, 2025 | 2.87 Mn |
| Sep 30, 2025 | 3.08 Mn |
| Jun 30, 2025 | 2.86 Mn |
| Mar 31, 2025 | 2.46 Mn |
| Dec 31, 2024 | 71,876.00 |
| Sep 30, 2024 | 56,339.00 |
| Jun 30, 2024 | 73,037.00 |
| Mar 31, 2024 | 61,636.00 |
| Dec 31, 2023 | -2.12 Mn |
| Sep 30, 2023 | 826,662.00 |
| Jun 30, 2023 | 774,028.00 |
| Mar 31, 2023 | 802,475.00 |
| Dec 31, 2022 | 734,596.00 |
| Sep 30, 2022 | 775,330.00 |
| Jun 30, 2022 | 661,548.00 |
| Mar 31, 2022 | 652,096.00 |
| Dec 31, 2021 | 698,326.00 |
| Sep 30, 2021 | 744,566.00 |
API Access
Intelligent Protection Management Cost of Revenue 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=cost-of-revenue&ticker=IPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=IPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();