Nice (NICE) Accumulated Expenses (2009 - 2025)
Nice's Accumulated Expenses came in at $635.02 million for the quarter ended Jun 30, 2026, up 7.4% from the prior quarter.
Analysis
Nice (NICE) Accumulated Expenses (2009 - 2025) Analysis & Trends
As of Dec 31, 2025, Nice's Accumulated Expenses was $469.19 million, down 20.9% from the prior year.
- Accumulated Expenses carries a five-year compound annual growth rate of 2.4% (years ended Dec 2020 to Dec 2025).
- Going back by year, Accumulated Expenses was $593.11 million in the year ended Dec 31, 2024 (+12.2%), $528.66 million in the year ended Dec 31, 2023 (+1.0%), $523.45 million in the year ended Dec 31, 2022 (+7.4%) and $487.55 million in the year ended Dec 31, 2021 (+16.9%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Accumulated Expenses since the quarter ended Mar 31, 2025.
- Year-over-year, Accumulated Expenses increased in two of the last four quarters, with growth averaging 0.9%.
- The fastest year-over-year change in Accumulated Expenses over five years came in the quarter ended Mar 31, 2022 (growth of 24.5%), and the weakest in the quarter ended Dec 31, 2025 (a decline of 20.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 106.73 Bn | 81.98 Bn | 6.00 Bn |
| 2 | Atlassian | 57.97 Bn | 51.25 Bn | 1.53 Bn |
| 3 | Autodesk | 53.49 Bn | 41.53 Bn | 1.87 Bn |
| 4 | Twilio | 38.73 Bn | 28.80 Bn | 725.87 Mn |
| 5 | Zoom Communications | 28.07 Bn | -2.72 Bn | 985.50 Mn |
| 6 | Figma | 12.67 Bn | 6.17 Bn | 309.61 Mn |
| 7 | Dropbox | 8.41 Bn | 4.04 Bn | 506.50 Mn |
| 8 | Nice | 7.30 Bn | 5.77 Bn | 995.81 Mn |
| 9 | Open Text | 6.94 Bn | 2.37 Bn | 1.01 Bn |
| 10 | RingCentral | 6.64 Bn | 6.13 Bn | 472.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 196.16 Mn |
| Dec 31, 2024 | 157.86 Mn |
| Dec 31, 2023 | 162.95 Mn |
| Dec 31, 2022 | 141.14 Mn |
| Dec 31, 2021 | 112.86 Mn |
| Dec 31, 2020 | 95.95 Mn |
| Dec 31, 2019 | 107.90 Mn |
| Dec 31, 2018 | 104.57 Mn |
| Dec 31, 2014 | 41.36 Mn |
| Dec 31, 2013 | 80.35 Mn |
| Dec 31, 2012 | 83.64 Mn |
| Dec 31, 2011 | 190.37 Mn |
| Sep 30, 2011 | 19.96 Mn |
| Jun 30, 2011 | 35.35 Mn |
| Mar 31, 2011 | 43.62 Mn |
| Dec 31, 2010 | 166.64 Mn |
| Sep 30, 2010 | 24.00 Mn |
| Jun 30, 2010 | 21.95 Mn |
| Mar 31, 2010 | 4.26 Mn |
| Dec 31, 2009 | 261.52 Mn |
API Access
Nice Accumulated Expenses 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=accumulated-expenses&ticker=NICE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=NICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();