Nn (NNBR) Total Liabilities (2009 - 2026)
Nn (NNBR) posted Total Liabilities of $347.16 million for Q3 2026, down 13.5% from $401.39 million a year earlier and down 18.8% from the prior quarter.
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Analysis
Nn (NNBR) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Nn's Total Liabilities came in at $406.79 million, up 6.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In prior years, Nn's Total Liabilities was $382.37 million in FY2024 (-0.9%), $385.88 million in FY2023 (+7.2%), $359.86 million in FY2022 (+1.4%) and $354.92 million in FY2021 (-4.3%).
- The Q3 2026 figure stands as the lowest quarterly Total Liabilities since Q2 2014.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with growth averaging 2.0%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2026, with growth of 8.6%; the weakest was Q3 2026, with a decline of 13.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $427.41 million (Q2 2026), $427.32 million (Q1 2026) and $406.79 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 21.06 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Nn | 250.71 Mn | 237.71 Mn | 18.27 Mn | 347.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 347.16 Mn |
| Jun 30, 2026 | 427.41 Mn |
| Mar 31, 2026 | 427.32 Mn |
| Dec 31, 2025 | 406.79 Mn |
| Sep 30, 2025 | 401.39 Mn |
| Jun 30, 2025 | 401.22 Mn |
| Mar 31, 2025 | 393.38 Mn |
| Dec 31, 2024 | 382.37 Mn |
| Sep 30, 2024 | 376.52 Mn |
| Jun 30, 2024 | 388.80 Mn |
| Mar 31, 2024 | 396.68 Mn |
| Dec 31, 2023 | 385.88 Mn |
| Sep 30, 2023 | 376.97 Mn |
| Jun 30, 2023 | 383.97 Mn |
| Mar 31, 2023 | 372.81 Mn |
| Dec 31, 2022 | 359.86 Mn |
| Sep 30, 2022 | 362.85 Mn |
| Jun 30, 2022 | 366.84 Mn |
| Mar 31, 2022 | 372.82 Mn |
| Dec 31, 2021 | 354.92 Mn |
API Access
Nn Total 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-liabilities&ticker=NNBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();