Nice (NICE) Net Long-Term Debt Issued (Repaid) (2016 - 2025)
Nice's Net Long-Term Debt Issued (Repaid) came in at $460 million for Q4 2025, up 426.1% from $87.44 million a year earlier.
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Analysis
Nice (NICE) Net Long-Term Debt Issued (Repaid) (2016 - 2025) Analysis & Trends
For FY2025, Nice's Net Long-Term Debt Issued (Repaid) was -$460 million.
- Going back by year, Net Long-Term Debt Issued (Repaid) was -$192.11 million in FY2024, -$2.63 million in FY2023, -$20.13 million in FY2022 and -$177.31 million in FY2021.
- The Q4 2025 figure represents the highest quarterly Net Long-Term Debt Issued (Repaid) since Q3 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.84 Bn | 69.09 Bn | 6.00 Bn | -250.00 Mn |
| 2 | Autodesk | 55.44 Bn | 43.47 Bn | 1.87 Bn | - |
| 3 | Atlassian | 40.30 Bn | 33.58 Bn | 1.53 Bn | - |
| 4 | Twilio | 31.65 Bn | 21.29 Bn | 760.53 Mn | -65,000.00 |
| 5 | Zoom Communications | 27.00 Bn | -3.73 Bn | 985.50 Mn | - |
| 6 | Figma | 10.35 Bn | 3.67 Bn | 314.44 Mn | - |
| 7 | Dropbox | 7.32 Bn | 2.95 Bn | 506.50 Mn | -35.30 Mn |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | -458.96 Mn |
| 9 | RingCentral | 6.11 Bn | 5.64 Bn | 494.30 Mn | -117.97 Mn |
| 10 | Nice | 6.03 Bn | 4.61 Bn | 1.49 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 460.00 Mn |
| Sep 30, 2025 | 460.00 Mn |
| Dec 31, 2024 | 87.44 Mn |
| Sep 30, 2024 | 87.44 Mn |
| Mar 31, 2024 | 87.44 Mn |
| Dec 31, 2023 | 2.63 Mn |
| Sep 30, 2023 | 1.56 Mn |
| Jun 30, 2023 | 1.53 Mn |
| Dec 31, 2022 | 20.13 Mn |
| Sep 30, 2022 | 20.13 Mn |
| Jun 30, 2022 | 20.11 Mn |
| Mar 31, 2022 | -18.09 Mn |
| Dec 31, 2021 | 177.31 Mn |
| Sep 30, 2021 | 93.32 Mn |
| Jun 30, 2021 | 82.81 Mn |
| Dec 31, 2020 | 215.00 Mn |
| Sep 30, 2020 | 451.65 Mn |
| Jun 30, 2020 | 177,000.00 |
| Mar 31, 2020 | 162,000.00 |
| Dec 31, 2019 | 185,000.00 |
API Access
Nice Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=NICE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "NICE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=NICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();