Nn (NNBR) Total Current Liabilities (2009 - 2026)
Nn (NNBR) reported Total Current Liabilities of $101.89 million for Q3 2026, up 12.1% from $90.91 million a year earlier and up 4.4% from the prior quarter.
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Analysis
Nn (NNBR) Total Current Liabilities (2009 - 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 Q3 2026 figure ranks as the highest quarterly Total Current Liabilities since Q4 2020.
- Year over year, Total Current Liabilities has now increased in each of the last five quarters, with growth averaging 4.3% 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 Q4 2021 (a decline of 28.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $97.63 million (Q2 2026), $96.52 million (Q1 2026) and $89.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 40.67 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 10.04 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 12.99 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 9.22 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 11.87 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 10.12 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 5.10 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 8.71 Bn |
| 10 | Nn | 250.71 Mn | 237.71 Mn | 18.27 Mn | 101.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 101.89 Mn |
| 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 |
API Access
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_KEYimport 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();