Nortech Systems (NSYS) Price to Earnings (2011 - 2026)
Nortech Systems' (NSYS) Price to Earnings stood at 32.97 in Q1 2026.
Analysis
Nortech Systems (NSYS) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2023, Nortech Systems' Price to Earnings came in at 3.76, down 77.1% from FY2022.
- Across earlier years, Price to Earnings came in at 16.40 in FY2022 (+324.2%) and 3.87 in FY2021.
- The Q1 2026 figure is the highest quarterly Price to Earnings since Q1 2019.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 323.8% in Q4 2022, against a decline of 77.1% in Q4 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Nortech Systems | 31.99 Mn | 25.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 32.97 |
| Sep 30, 2024 | 7.12 |
| Jun 30, 2024 | 5.82 |
| Mar 31, 2024 | 5.29 |
| Dec 31, 2023 | 3.76 |
| Sep 30, 2023 | 11.84 |
| Jun 30, 2023 | 10.76 |
| Mar 31, 2023 | 11.27 |
| Dec 31, 2022 | 16.40 |
| Sep 30, 2022 | 3.84 |
| Jun 30, 2022 | 4.01 |
| Mar 31, 2022 | 3.18 |
| Dec 31, 2021 | 3.87 |
| Sep 30, 2020 | 5.52 |
| Jun 30, 2020 | 16.26 |
| Mar 31, 2019 | 65.12 |
| Dec 31, 2018 | 56.61 |
| Sep 30, 2017 | 84.25 |
| Jun 30, 2017 | 75.65 |
| Dec 31, 2016 | 244.19 |
API Access
Nortech Systems 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=NSYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "NSYS", "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=NSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();