Nn (NNBR) Total Liabilities (2010 - 2026)
Nn (NNBR) posted Total Liabilities of $427.41 million for Q2 2026, up 6.5% from $401.22 million a year earlier and unchanged from the prior quarter.
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Analysis
Nn (NNBR) Total Liabilities (2010 - 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 Q2 2026 figure stands as the highest quarterly Total Liabilities since Q3 2020.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 3.7% over the last eight quarters.
- 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 2021, with a decline of 69.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $427.32 million (Q1 2026), $406.79 million (Q4 2025) and $401.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Nn | 192.95 Mn | 266.56 Mn | 21.88 Mn | 427.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 369.88 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();