Nortech Systems (NSYS) EV to EBITDA (2011 - 2026)
Nortech Systems' (NSYS) EV to EBITDA was 22.44 for Q1 2026.
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Analysis
Nortech Systems (NSYS) EV to EBITDA (2011 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Nortech Systems' EV to EBITDA came in at 19.91; for FY2025, it was 8.42, down 52.8% from FY2024.
- By year, EV to EBITDA came in at 17.82 in FY2024 (+490.8%), 3.02 in FY2023 (-45.2%), 5.50 in FY2022 (-14.0%) and 6.40 in FY2021 (-46.1%).
- The Q1 2026 figure ranks as the lowest quarterly EV to EBITDA since Q4 2024.
- The high point for year-over-year EV to EBITDA in five years was Q4 2024 (growth of 498.0%); the low point was Q4 2023 (a decline of 45.5%).
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 | 22.44 |
| Sep 30, 2025 | 274.57 |
| Dec 31, 2024 | 18.40 |
| Sep 30, 2024 | 5.64 |
| Jun 30, 2024 | 5.04 |
| Mar 31, 2024 | 4.14 |
| Dec 31, 2023 | 3.08 |
| Sep 30, 2023 | 4.18 |
| Jun 30, 2023 | 3.86 |
| Mar 31, 2023 | 4.19 |
| Dec 31, 2022 | 5.65 |
| Sep 30, 2022 | 2.69 |
| Jun 30, 2022 | 4.30 |
| Mar 31, 2022 | 5.14 |
| Sep 30, 2021 | 3.82 |
| Jun 30, 2021 | 6.66 |
| Mar 31, 2021 | 5.18 |
| Sep 30, 2020 | 1.98 |
| Jun 30, 2020 | 5.14 |
| Mar 31, 2020 | 4.17 |
API Access
Nortech Systems EV to EBITDA 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-ebitda&ticker=NSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=NSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();