Network-1 Technologies (NTIP) EV to CFO (2011 - 2024)
Network-1 Technologies' (NTIP) EV to CFO was -22.96 for Q3 2024.
Analysis
Network-1 Technologies (NTIP) EV to CFO (2011 - 2024) Analysis & Trends
Over the twelve months ended Sep 30, 2024, Network-1 Technologies' EV to CFO came in at -352.43; for FY2023, it was 17.77.
- By year, EV to CFO came in at 0.38 in FY2021.
- The Q3 2024 figure ranks as the lowest quarterly EV to CFO in data going back to Q2 2011.
- Per Business Quant data, the three quarters before Q3 2024 came in at -5.90 (Q2 2024), 214.39 (Q1 2024) and 17.77 (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,235.65 Bn | 5,009.82 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,206.84 Bn | 1,831.70 Bn | 27.22 Bn |
| 3 | Broadcom | 1,595.23 Bn | 1,521.27 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,011.16 Bn | 916.79 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 874.75 Bn | 831.50 Bn | 6.20 Bn |
| 6 | Asml Holding | 634.65 Bn | 590.34 Bn | 5.90 Bn |
| 7 | Intel | 469.01 Bn | 338.14 Bn | 6.51 Bn |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn |
| 9 | Applied Materials | 321.88 Bn | 287.32 Bn | 4.59 Bn |
| 10 | Network-1 Technologies | 35.51 Mn | -106.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -22.96 |
| Jun 30, 2024 | -5.90 |
| Mar 31, 2024 | 214.39 |
| Dec 31, 2023 | 17.77 |
| Jun 30, 2022 | 1.37 |
| Mar 31, 2022 | 0.29 |
| Dec 31, 2021 | 0.38 |
| Sep 30, 2021 | 0.57 |
| Jun 30, 2021 | 1.93 |
| Sep 30, 2020 | 20.44 |
| Dec 31, 2018 | -0.25 |
| Sep 30, 2018 | 3.65 |
| Jun 30, 2018 | 3.28 |
| Mar 31, 2018 | 0.24 |
| Dec 31, 2017 | 0.45 |
| Jun 30, 2017 | 2.87 |
| Mar 31, 2017 | 2.55 |
| Dec 31, 2016 | 0.96 |
| Sep 30, 2016 | 0.12 |
| Jun 30, 2016 | 1.35 |
API Access
Network-1 Technologies EV to CFO 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=ev-to-cfo&ticker=NTIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=NTIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();