Network-1 Technologies (NTIP) Price to Earnings (2011 - 2022)
Network-1 Technologies' (NTIP) Price to Earnings was 20.62 for Q2 2022, up 133.2% from 8.84 a year earlier and up 16.4% from the prior quarter.
Analysis
Network-1 Technologies (NTIP) Price to Earnings (2011 - 2022) Analysis & Trends
For FY2021, Price to Earnings at Network-1 Technologies was 4.70.
- By year, Price to Earnings came in at 6.87 in FY2018 (-50.4%) and 13.85 in FY2017 (+298.1%).
- The Q2 2022 figure ranks as the highest quarterly Price to Earnings since Q3 2015.
- The high point for year-over-year Price to Earnings in five years was Q3 2017 (growth of 667.9%); the low point was Q3 2018 (a decline of 58.3%).
- Per Business Quant data, the three quarters before Q2 2022 came in at 17.72 (Q1 2022), 4.70 (Q4 2021) and 5.19 (Q3 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,109.17 Bn | 4,883.33 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,161.49 Bn | 1,786.35 Bn | 27.22 Bn |
| 3 | Broadcom | 1,533.75 Bn | 1,459.79 Bn | 20.46 Bn |
| 4 | Micron Technology | 989.15 Bn | 894.78 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 840.45 Bn | 797.19 Bn | 6.20 Bn |
| 6 | Asml Holding | 609.94 Bn | 565.63 Bn | 5.90 Bn |
| 7 | Intel | 442.11 Bn | 311.24 Bn | 6.51 Bn |
| 8 | Applied Materials | 298.82 Bn | 264.26 Bn | 4.59 Bn |
| 9 | Lam Research | 287.79 Bn | 263.84 Bn | 4.30 Bn |
| 10 | Network-1 Technologies | 36.08 Mn | -106.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 20.62 |
| Mar 31, 2022 | 17.72 |
| Dec 31, 2021 | 4.70 |
| Sep 30, 2021 | 5.19 |
| Jun 30, 2021 | 8.84 |
| Mar 31, 2021 | 8.29 |
| Dec 31, 2018 | 6.87 |
| Sep 30, 2018 | 8.06 |
| Jun 30, 2018 | 8.77 |
| Mar 31, 2018 | 6.01 |
| Dec 31, 2017 | 13.85 |
| Sep 30, 2017 | 19.35 |
| Jun 30, 2017 | 6.85 |
| Mar 31, 2017 | 5.45 |
| Dec 31, 2016 | 3.48 |
| Sep 30, 2016 | 2.52 |
| Jun 30, 2016 | 4.18 |
| Mar 31, 2016 | 6.96 |
| Dec 31, 2015 | 11.81 |
| Sep 30, 2015 | 30.95 |
API Access
Network-1 Technologies 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=NTIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "NTIP", "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=NTIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();