Nice (NICE) Other Accumulated Expenses (2013 - 2018)
Nice (NICE) posted Other Accumulated Expenses of $1.45 million for the quarter ended Jun 30, 2026, up 75.6% from the prior quarter.
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Analysis
Nice (NICE) Other Accumulated Expenses (2013 - 2018) Analysis & Trends
As of Dec 31, 2025, Nice's Other Accumulated Expenses came in at $750,000, down 55.0% from the prior year.
- In prior years, Nice's Other Accumulated Expenses was $1.67 million in the year ended Dec 31, 2024 (-8.8%), $1.83 million in the year ended Dec 31, 2023 (+467.4%), $322,000 in the year ended Dec 31, 2022 and -$1.96 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Other Accumulated Expenses since the quarter ended Dec 31, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 103.15 Bn | 78.40 Bn | 6.00 Bn |
| 2 | Atlassian | 59.22 Bn | 52.50 Bn | 1.53 Bn |
| 3 | Autodesk | 52.71 Bn | 40.74 Bn | 1.87 Bn |
| 4 | Twilio | 40.18 Bn | 30.25 Bn | 725.87 Mn |
| 5 | Zoom Communications | 28.00 Bn | -2.79 Bn | 985.50 Mn |
| 6 | Figma | 13.07 Bn | 6.58 Bn | 309.61 Mn |
| 7 | Dropbox | 8.31 Bn | 3.95 Bn | 506.50 Mn |
| 8 | Nice | 7.32 Bn | 5.79 Bn | 995.81 Mn |
| 9 | RingCentral | 7.05 Bn | 6.57 Bn | 494.30 Mn |
| 10 | Open Text | 6.77 Bn | 2.20 Bn | 1.01 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 384,142.00 |
| Dec 31, 2017 | 189,000.00 |
| Dec 31, 2016 | 3.08 Mn |
| Dec 31, 2015 | 36,307.00 |
| Dec 31, 2014 | 62,041.00 |
| Dec 31, 2013 | -602,000.00 |
API Access
Nice Other 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=other-accumulated-expenses&ticker=NICE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=NICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();