Nice (NICE) Total Non-Current Liabilities (2009 - 2026)
Nice's Total Non-Current Liabilities was $215.68 million in Q3 2026, down 9.6% from the prior quarter.
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Analysis
Nice (NICE) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Nice came in at $341.88 million, up 56.6% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -10.6% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $218.32 million in FY2024 (-66.0%), $642.81 million in FY2023 (-2.3%), $657.78 million in FY2022 (+9.1%) and $602.87 million in FY2021 (+0.5%).
- The Q3 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- Compared with a year earlier, Total Non-Current Liabilities was higher in two of the last four quarters, with an average decline of 12.8%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2025 (growth of 56.6%); the worst was Q1 2025 (a decline of 70.9%).
- Per Business Quant data, NICE's Total Non-Current Liabilities in the three quarters before Q3 2026 was $238.53 million (Q2 2026), $243.42 million (Q1 2026) and $341.88 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.87 Bn | 69.12 Bn | 6.00 Bn | 17.07 Bn |
| 2 | Autodesk | 55.16 Bn | 43.20 Bn | 1.87 Bn | 9.06 Bn |
| 3 | Atlassian | 39.34 Bn | 32.62 Bn | 1.53 Bn | 4.95 Bn |
| 4 | Twilio | 31.36 Bn | 21.00 Bn | 760.53 Mn | 1.92 Bn |
| 5 | Zoom Communications | 26.61 Bn | -4.12 Bn | 985.50 Mn | 2.17 Bn |
| 6 | Figma | 10.24 Bn | 3.56 Bn | 314.44 Mn | 928.92 Mn |
| 7 | Dropbox | 7.60 Bn | 3.23 Bn | 506.50 Mn | 4.94 Bn |
| 8 | Open Text | 6.26 Bn | 1.69 Bn | 1.01 Bn | 6.47 Bn |
| 9 | RingCentral | 6.08 Bn | 5.61 Bn | 494.30 Mn | 1.86 Bn |
| 10 | Nice | 6.01 Bn | 4.58 Bn | 1.49 Bn | 215.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 215.68 Mn |
| Jun 30, 2026 | 238.53 Mn |
| Mar 31, 2026 | 243.42 Mn |
| Dec 31, 2025 | 341.88 Mn |
| Sep 30, 2025 | 310.54 Mn |
| Jun 30, 2025 | 195.40 Mn |
| Mar 31, 2025 | 188.49 Mn |
| Dec 31, 2024 | 218.32 Mn |
| Sep 30, 2024 | 183.58 Mn |
| Jun 30, 2024 | 646.59 Mn |
| Mar 31, 2024 | 646.90 Mn |
| Dec 31, 2023 | 642.81 Mn |
| Sep 30, 2023 | 647.72 Mn |
| Jun 30, 2023 | 647.87 Mn |
| Mar 31, 2023 | 652.63 Mn |
| Dec 31, 2022 | 657.78 Mn |
| Sep 30, 2022 | 632.09 Mn |
| Jun 30, 2022 | 637.48 Mn |
| Mar 31, 2022 | 619.53 Mn |
| Dec 31, 2021 | 602.87 Mn |
API Access
Nice 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=NICE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=NICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();