Intelligent Protection Management (IPM) Research & Development (2015 - 2025)
Intelligent Protection Management's Research & Development was $765,364 in Q1 2025, up 188.0% from $265,789 a year earlier.
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Analysis
Intelligent Protection Management (IPM) Research & Development (2015 - 2025) Analysis & Trends
On a trailing twelve-month basis, Intelligent Protection Management's Research & Development was -$230,799 through Mar 31, 2025; for FY2024, it came in at $215,538, up 2.5% from FY2023.
- Research & Development shows a five-year compound annual growth rate of -49.5% (FY2019 to FY2024).
- In earlier years, Research & Development was $210,232 in FY2023 (-96.5%), $5.93 million in FY2022 (+10.1%), $5.39 million in FY2021 (+7.3%) and $5.03 million in FY2020 (-23.4%).
- Quarterly Research & Development has moved between -$3.42 million (Q4 2024) and $1.53 million (Q1 2022) over five years.
- Compared with a year earlier, Research & Development was higher in three of the last six quarters, with growth averaging 11.9%.
- The best year-over-year quarter for Research & Development over five years was Q1 2025 (growth of 188.0%); the worst was Q1 2024 (a decline of 78.7%).
- Per Business Quant data, IPM's Research & Development in the three quarters before Q1 2025 was -$3.42 million (Q4 2024), $1.21 million (Q3 2024) and $1.21 million (Q2 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (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 |
|---|---|
| Mar 31, 2025 | 765,364.00 |
| Dec 31, 2024 | -3.42 Mn |
| Sep 30, 2024 | 1.21 Mn |
| Jun 30, 2024 | 1.21 Mn |
| Mar 31, 2024 | 265,789.00 |
| Dec 31, 2023 | -3.40 Mn |
| Sep 30, 2023 | 1.19 Mn |
| Jun 30, 2023 | 1.16 Mn |
| Mar 31, 2023 | 1.25 Mn |
| Dec 31, 2022 | 1.40 Mn |
| Sep 30, 2022 | 1.49 Mn |
| Jun 30, 2022 | 1.52 Mn |
| Mar 31, 2022 | 1.53 Mn |
| Dec 31, 2021 | 1.46 Mn |
| Sep 30, 2021 | 1.33 Mn |
| Jun 30, 2021 | 1.30 Mn |
| Mar 31, 2021 | 1.30 Mn |
| Dec 31, 2020 | 1.30 Mn |
| Sep 30, 2020 | 1.22 Mn |
| Jun 30, 2020 | 1.26 Mn |
API Access
Intelligent Protection Management Research & Development 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=research-and-development&ticker=IPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=IPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();