Nn (NNBR) Long-Term Debt Repayments (2009 - 2026)
Nn's Long-Term Debt Repayments was $769,000 in Q3 2026, down 50.0% from $1.54 million a year earlier and down 26.8% from the prior quarter.
Nn (NNBR) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nn's Long-Term Debt Repayments was $55.62 million through Sep 30, 2026, down 74.0% year-over-year; for FY2025, it was $170.83 million, up 76.5% from FY2024.
- Long-Term Debt Repayments has now increased for three consecutive years, though with a five-year compound annual growth rate of -26.1% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $96.81 million in FY2024 (+48.0%), $65.4 million in FY2023 (+36.4%), $47.96 million in FY2022 (-48.8%) and $93.73 million in FY2021 (-87.9%).
- Quarterly Long-Term Debt Repayments has moved between -$29.7 million (Q2 2024) and $115.66 million (Q2 2025) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in three of the last seven quarters, with growth averaging 155.3%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q4 2024 (growth of 875.6%); the worst was Q4 2021 (a decline of 99.3%).
- Per Business Quant data, NNBR's Long-Term Debt Repayments in the three quarters before Q3 2026 was $1.05 million (Q2 2026), $465,000 (Q1 2026) and $53.33 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | -30.00 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 937.90 Mn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 2.00 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 5.26 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 650.00 Mn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 2.36 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 15.30 Mn |
| 10 | Nn | 250.71 Mn | 237.71 Mn | 18.27 Mn | 769,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 769,000.00 |
| Jun 30, 2026 | 1.05 Mn |
| Mar 31, 2026 | 465,000.00 |
| Dec 31, 2025 | 53.33 Mn |
| Sep 30, 2025 | 1.54 Mn |
| Jun 30, 2025 | 115.66 Mn |
| Mar 31, 2025 | 297,000.00 |
| Dec 31, 2024 | 96.32 Mn |
| Sep 30, 2024 | 281,000.00 |
| Jun 30, 2024 | -29.70 Mn |
| Mar 31, 2024 | 29.91 Mn |
| Dec 31, 2023 | 9.87 Mn |
| Sep 30, 2023 | 20.80 Mn |
| Jun 30, 2023 | 16.89 Mn |
| Mar 31, 2023 | 17.83 Mn |
| Dec 31, 2022 | 19.80 Mn |
| Sep 30, 2022 | 8.68 Mn |
| Jun 30, 2022 | 10.75 Mn |
| Mar 31, 2022 | 8.73 Mn |
| Dec 31, 2021 | 5.67 Mn |
Nn Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=NNBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();