Nn (NNBR) Total Current Liabilities (2010 - 2026)
Nn (NNBR) reported Total Current Liabilities of $97.63 million for Q2 2026, up 9.5% from $89.15 million a year earlier and up 1.2% from the prior quarter.
Nn (NNBR) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Nn posted Total Current Liabilities of $89.8 million, up 7.0% from FY2024.
- Total Current Liabilities has increased for four consecutive years, though with a five-year compound annual growth rate of -2.8% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $83.91 million in FY2024 (+2.8%), $81.62 million in FY2023 (+3.6%), $78.81 million in FY2022 (+6.5%) and $74.02 million in FY2021 (-28.3%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities since Q1 2021.
- Year over year, Total Current Liabilities has now increased in each of the last four quarters, with growth averaging 2.8% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2023 (growth of 12.7%); the low point was Q3 2021 (a decline of 90.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $96.52 million (Q1 2026), $89.8 million (Q4 2025) and $90.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Nn | 192.95 Mn | 266.56 Mn | 21.88 Mn | 97.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.63 Mn |
| Mar 31, 2026 | 96.52 Mn |
| Dec 31, 2025 | 89.80 Mn |
| Sep 30, 2025 | 90.91 Mn |
| Jun 30, 2025 | 89.15 Mn |
| Mar 31, 2025 | 90.10 Mn |
| Dec 31, 2024 | 83.91 Mn |
| Sep 30, 2024 | 88.57 Mn |
| Jun 30, 2024 | 90.90 Mn |
| Mar 31, 2024 | 94.79 Mn |
| Dec 31, 2023 | 81.62 Mn |
| Sep 30, 2023 | 88.52 Mn |
| Jun 30, 2023 | 91.02 Mn |
| Mar 31, 2023 | 91.34 Mn |
| Dec 31, 2022 | 78.81 Mn |
| Sep 30, 2022 | 78.57 Mn |
| Jun 30, 2022 | 84.44 Mn |
| Mar 31, 2022 | 91.83 Mn |
| Dec 31, 2021 | 74.02 Mn |
| Sep 30, 2021 | 85.07 Mn |
Nn 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=NNBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "NNBR", "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=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();