Nortech Systems (NSYS) Total Current Liabilities (2010 - 2026)
Nortech Systems (NSYS) posted Total Current Liabilities of $36.04 million for Q2 2026, up 66.8% from $21.61 million a year earlier and up 9.2% from the prior quarter.
Nortech Systems (NSYS) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Nortech Systems' Total Current Liabilities came in at $29.84 million, up 39.3% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- In prior years, Nortech Systems' Total Current Liabilities was $21.43 million in FY2024 (-19.4%), $26.58 million in FY2023 (+0.7%), $26.4 million in FY2022 (+18.3%) and $22.31 million in FY2021 (+14.2%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last four quarters, with growth averaging 20.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2021, with growth of 80.2%; the weakest was Q2 2022, with a decline of 22.7%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $33 million (Q1 2026), $29.84 million (Q4 2025) and $33.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Nortech Systems | 31.11 Mn | 24.30 Mn | - | 36.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.04 Mn |
| Mar 31, 2026 | 33.00 Mn |
| Dec 31, 2025 | 29.84 Mn |
| Sep 30, 2025 | 33.61 Mn |
| Jun 30, 2025 | 21.61 Mn |
| Mar 31, 2025 | 20.72 Mn |
| Dec 31, 2024 | 21.43 Mn |
| Sep 30, 2024 | 23.32 Mn |
| Jun 30, 2024 | 23.30 Mn |
| Mar 31, 2024 | 25.72 Mn |
| Dec 31, 2023 | 26.58 Mn |
| Sep 30, 2023 | 23.20 Mn |
| Jun 30, 2023 | 24.40 Mn |
| Mar 31, 2023 | 27.45 Mn |
| Dec 31, 2022 | 26.40 Mn |
| Sep 30, 2022 | 26.57 Mn |
| Jun 30, 2022 | 24.29 Mn |
| Mar 31, 2022 | 24.71 Mn |
| Dec 31, 2021 | 22.31 Mn |
| Sep 30, 2021 | 32.88 Mn |
Nortech Systems Total 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-current-liabilities&ticker=NSYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=NSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();