Nocopi Technologies (NNUP) Price to Earnings (2011 - 2023)
Nocopi Technologies' (NNUP) Price to Earnings stood at 21.74 in Q3 2023, up 78.5% from the prior quarter.
Analysis
Nocopi Technologies (NNUP) Price to Earnings (2011 - 2023) Analysis & Trends
For FY2022, Nocopi Technologies' Price to Earnings came in at 11.50, down 99.5% from FY2021.
- Across earlier years, Price to Earnings came in at 2131.42 in FY2021 and 192.10 in FY2020.
- The Q3 2023 figure is the highest quarterly Price to Earnings since Q3 2021.
- Per Business Quant, the preceding three quarters came in at 12.18 (Q2 2023), 12.43 (Q1 2023) and 11.50 (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn |
| 10 | Nocopi Technologies | 19.96 Mn | 19.96 Mn | 357,381.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 21.74 |
| Jun 30, 2023 | 12.18 |
| Mar 31, 2023 | 12.43 |
| Dec 31, 2022 | 11.50 |
| Sep 30, 2021 | 940.54 |
| Jun 30, 2021 | 431.69 |
| Mar 31, 2021 | 316.03 |
| Dec 31, 2020 | 192.10 |
| Sep 30, 2020 | 546.94 |
| Jun 30, 2020 | 2,029.19 |
| Mar 31, 2020 | 1,419.19 |
| Sep 30, 2011 | 1,603.59 |
API Access
Nocopi 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=NNUP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "NNUP", "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=NNUP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();