Nice (NICE) Non-cash Items (2009 - 2026)
Nice (NICE) posted Non-cash Items of $65.0 million for Q2 2026, up 112.0% on a QoQ basis from $30.7 million in Q1 2026, and up 63.27% year-over-year from $39.8 million in Q2 2025.
Nice (NICE) Non-cash Items (2009 - 2026) Analysis & Trends
Nice has reported Non-cash Items for 18 years, with the latest figure at $65.0 million in Q2 2026.
- On a quarterly basis, Non-cash Items rose 63.27% year-over-year to $65.0 million in Q2 2026; TTM through Jun 2026 was $251.4 million, a 6.4% decrease from a year earlier, with the FY2025 full-year figure at $93.4 million, down 20.12% from the prior year.
- Non-cash Items was $65.0 million for Q2 2026 at Nice, up from $30.7 million in the prior quarter.
- The five-year high for Non-cash Items was $116.9 million in Q4 2024, with the low at $21.1 million in Q1 2025.
- Average Non-cash Items over 5 years is $61.1 million, with a median of $61.6 million recorded in 2024.
- The sharpest annual moves came in 2025 and 2026: Non-cash Items sank 34.54% in 2025, then soared 63.27% in 2026.
- Over 5 years, Non-cash Items stood at $97.0 million in 2022, then advanced by 2.5% to $99.4 million in 2023, then rose by 17.57% to $116.9 million in 2024, then dropped by 20.12% to $93.4 million in 2025, then sank by 30.39% to $65.0 million in 2026.
- The last three Non-cash Items figures came in at $65.0 million (Q2 2026), $30.7 million (Q1 2026), and $93.4 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 94.11 Bn | 88.47 Bn | 6.00 Bn |
| 2 | Atlassian | 50.75 Bn | 49.51 Bn | 1.53 Bn |
| 3 | Autodesk | 45.38 Bn | 41.23 Bn | 1.87 Bn |
| 4 | Twilio | 44.64 Bn | 41.99 Bn | 725.87 Mn |
| 5 | Zoom Communications | 26.86 Bn | 19.62 Bn | 985.50 Mn |
| 6 | Figma | 11.55 Bn | 9.88 Bn | 309.61 Mn |
| 7 | Dropbox | 7.52 Bn | 6.40 Bn | 506.50 Mn |
| 8 | Nice | 7.12 Bn | 6.76 Bn | 995.81 Mn |
| 9 | RingCentral | 6.64 Bn | 6.53 Bn | 472.31 Mn |
| 10 | Open Text | 5.59 Bn | 4.63 Bn | 1.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.00 Mn |
| Mar 31, 2026 | 30.66 Mn |
| Dec 31, 2025 | 93.38 Mn |
| Sep 30, 2025 | 62.36 Mn |
| Jun 30, 2025 | 39.82 Mn |
| Mar 31, 2025 | 21.06 Mn |
| Dec 31, 2024 | 116.91 Mn |
| Sep 30, 2024 | 90.81 Mn |
| Jun 30, 2024 | 60.82 Mn |
| Mar 31, 2024 | 31.04 Mn |
| Dec 31, 2023 | 99.44 Mn |
| Sep 30, 2023 | 73.52 Mn |
| Jun 30, 2023 | 49.50 Mn |
| Mar 31, 2023 | 24.59 Mn |
| Dec 31, 2022 | 97.02 Mn |
| Sep 30, 2022 | 72.02 Mn |
| Jun 30, 2022 | 47.99 Mn |
| Mar 31, 2022 | 24.73 Mn |
| Dec 31, 2021 | 100.88 Mn |
| Sep 30, 2021 | 74.72 Mn |
Nice Non-cash Items 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-cash-items&ticker=NICE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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-cash-items&ticker=NICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();