Nortech Systems (NSYS) EV to CFO (2012 - 2026)
Nortech Systems' (NSYS) EV to CFO was 7.72 for Q1 2026, up 11.2% from the prior quarter.
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Analysis
Nortech Systems (NSYS) EV to CFO (2012 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Nortech Systems' EV to CFO came in at 6.85; for FY2025, it came in at 6.94.
- By year, EV to CFO came in at 13.64 in FY2023 (+130.8%) and 5.91 in FY2022.
- The Q1 2026 figure ranks as the highest quarterly EV to CFO since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn |
| 10 | Nortech Systems | 31.11 Mn | 24.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7.72 |
| Dec 31, 2025 | 6.94 |
| Jun 30, 2024 | 1,205.39 |
| Mar 31, 2024 | 11.38 |
| Dec 31, 2023 | 13.64 |
| Sep 30, 2023 | 3.74 |
| Jun 30, 2023 | 3.38 |
| Mar 31, 2023 | 4.88 |
| Dec 31, 2022 | 5.91 |
| Mar 31, 2021 | 16,322.87 |
| Dec 31, 2020 | 13.73 |
| Sep 30, 2020 | 10.73 |
| Jun 30, 2020 | 2.98 |
| Mar 31, 2020 | 2.88 |
| Dec 31, 2019 | 12.63 |
| Mar 31, 2019 | 26.70 |
| Dec 31, 2018 | 3.67 |
| Sep 30, 2018 | 3.84 |
| Jun 30, 2018 | 3.88 |
| Mar 31, 2018 | 4.79 |
API Access
Nortech Systems 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=NSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=NSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();