Intelligent Protection Management (IPM) Price to Earnings (2016 - 2021)
Intelligent Protection Management's (IPM) Price to Earnings came in at 16.66 for Q4 2021, up 126.5% from 7.35 a year earlier but down 64.4% from the prior quarter.
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Analysis
Intelligent Protection Management (IPM) Price to Earnings (2016 - 2021) Analysis & Trends
Since Q1 2016, Intelligent Protection Management has reported Price to Earnings for 8 quarters.
- In prior years, Intelligent Protection Management's Price to Earnings was 7.35 in FY2020.
- Quarterly Price to Earnings has run from a low of 7.35 in Q4 2020 to a high of 46.81 in Q3 2021 over five years.
- According to Business Quant data, Price to Earnings for the three prior quarters was 46.81 (Q3 2021), 7.66 (Q2 2021) and 8.63 (Q1 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 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 |
|---|---|
| Dec 31, 2021 | 16.66 |
| Sep 30, 2021 | 46.81 |
| Jun 30, 2021 | 7.66 |
| Mar 31, 2021 | 8.63 |
| Dec 31, 2020 | 7.35 |
| Sep 30, 2016 | 951.80 |
| Jun 30, 2016 | 380.72 |
| Mar 31, 2016 | 181.68 |
API Access
Intelligent Protection Management Price to Earnings 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=price-to-earnings&ticker=IPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=IPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();