Nn (NNBR) Total Non-Current Liabilities (2009 - 2026)
Nn (NNBR) reported Total Non-Current Liabilities of $339.81 million for Q3 2026, down 13.0% from $390.42 million a year earlier and down 19.2% from the prior quarter.
Powered by 
Analysis
Nn (NNBR) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Nn posted Total Non-Current Liabilities of $397.37 million, up 7.9% from FY2024.
- Total Non-Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $368.26 million in FY2024 (+2.0%), $361.06 million in FY2023 (+3.2%), $349.9 million in FY2022 (+3.6%) and $337.63 million in FY2021 (-4.5%).
- The Q3 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q4 2021.
- Year over year, Total Non-Current Liabilities gained in seven of the last eight quarters, with growth averaging 3.4%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2026 (growth of 10.2%); the low point was Q3 2026 (a decline of 13.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $420.64 million (Q2 2026), $420.82 million (Q1 2026) and $397.37 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 76.44 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 28.76 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 23.44 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 25.05 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 26.86 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 17.63 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 8.26 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 12.22 Bn |
| 10 | Nn | 250.71 Mn | 237.71 Mn | 18.27 Mn | 339.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 339.81 Mn |
| Jun 30, 2026 | 420.64 Mn |
| Mar 31, 2026 | 420.82 Mn |
| Dec 31, 2025 | 397.37 Mn |
| Sep 30, 2025 | 390.42 Mn |
| Jun 30, 2025 | 390.32 Mn |
| Mar 31, 2025 | 381.71 Mn |
| Dec 31, 2024 | 368.26 Mn |
| Sep 30, 2024 | 362.37 Mn |
| Jun 30, 2024 | 376.58 Mn |
| Mar 31, 2024 | 378.33 Mn |
| Dec 31, 2023 | 361.06 Mn |
| Sep 30, 2023 | 360.68 Mn |
| Jun 30, 2023 | 365.48 Mn |
| Mar 31, 2023 | 362.09 Mn |
| Dec 31, 2022 | 349.90 Mn |
| Sep 30, 2022 | 352.21 Mn |
| Jun 30, 2022 | 353.80 Mn |
| Mar 31, 2022 | 358.10 Mn |
| Dec 31, 2021 | 337.63 Mn |
API Access
Nn 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=NNBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();