Nn (NNBR) Total Non-Current Liabilities (2010 - 2026)
Nn (NNBR) reported Total Non-Current Liabilities of $420.64 million for Q2 2026, up 7.8% from $390.32 million a year earlier and unchanged from the prior quarter.
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Analysis
Nn (NNBR) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Nn posted Total Non-Current Liabilities of $6.8 million, down 11.0% from FY2024.
- Total Non-Current Liabilities has declined for six consecutive years, with a five-year compound annual growth rate of -7.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $7.64 million in FY2024 (-11.8%), $8.66 million in FY2023 (-0.4%), $8.7 million in FY2022 (-13.1%) and $10.01 million in FY2021 (-2.7%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $6.8 million in Q4 2025 and a high of $420.82 million in Q1 2026.
- Year over year, Total Non-Current Liabilities gained in six of the last eight quarters, with growth averaging 1.0%.
- 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 2021 (a decline of 71.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $420.82 million (Q1 2026), $6.8 million (Q4 2025) and $390.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Nn | 192.95 Mn | 266.56 Mn | 21.88 Mn | 420.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 420.64 Mn |
| Mar 31, 2026 | 420.82 Mn |
| Dec 31, 2025 | 6.80 Mn |
| Sep 30, 2025 | 390.42 Mn |
| Jun 30, 2025 | 390.32 Mn |
| Mar 31, 2025 | 381.71 Mn |
| Dec 31, 2024 | 7.64 Mn |
| Sep 30, 2024 | 362.37 Mn |
| Jun 30, 2024 | 376.58 Mn |
| Mar 31, 2024 | 378.33 Mn |
| Dec 31, 2023 | 8.66 Mn |
| Sep 30, 2023 | 360.68 Mn |
| Jun 30, 2023 | 365.48 Mn |
| Mar 31, 2023 | 362.09 Mn |
| Dec 31, 2022 | 8.70 Mn |
| Sep 30, 2022 | 352.21 Mn |
| Jun 30, 2022 | 353.80 Mn |
| Mar 31, 2022 | 358.10 Mn |
| Dec 31, 2021 | 10.01 Mn |
| Sep 30, 2021 | 348.54 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();