Nortech Systems (NSYS) Total Non-Current Liabilities (2010 - 2026)
Nortech Systems (NSYS) reported Total Non-Current Liabilities of $8.53 million for Q2 2026, down 57.0% from $19.83 million a year earlier and down 4.5% from the prior quarter.
Nortech Systems (NSYS) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Nortech Systems posted Total Non-Current Liabilities of $7.53 million, down 55.7% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -17.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $17 million in FY2024 (+28.8%), $13.2 million in FY2023 (-12.4%), $15.06 million in FY2022 (-19.3%) and $18.67 million in FY2021 (-3.6%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $7.53 million in Q4 2025 and a high of $20.3 million in Q2 2022.
- Year over year, Total Non-Current Liabilities has now declined in each of the last four quarters, with an average decline of 10.5% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2024 (growth of 48.7%); the low point was Q2 2026 (a decline of 57.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.93 million (Q1 2026), $7.53 million (Q4 2025) and $7.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Nortech Systems | 31.11 Mn | 24.30 Mn | - | 8.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.53 Mn |
| Mar 31, 2026 | 8.93 Mn |
| Dec 31, 2025 | 7.53 Mn |
| Sep 30, 2025 | 7.80 Mn |
| Jun 30, 2025 | 19.83 Mn |
| Mar 31, 2025 | 19.99 Mn |
| Dec 31, 2024 | 17.00 Mn |
| Sep 30, 2024 | 17.96 Mn |
| Jun 30, 2024 | 16.82 Mn |
| Mar 31, 2024 | 13.73 Mn |
| Dec 31, 2023 | 13.20 Mn |
| Sep 30, 2023 | 12.08 Mn |
| Jun 30, 2023 | 14.55 Mn |
| Mar 31, 2023 | 13.70 Mn |
| Dec 31, 2022 | 15.06 Mn |
| Sep 30, 2022 | 18.36 Mn |
| Jun 30, 2022 | 20.30 Mn |
| Mar 31, 2022 | 16.86 Mn |
| Dec 31, 2021 | 18.67 Mn |
| Sep 30, 2021 | 12.60 Mn |
Nortech Systems Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=NSYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=NSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();