Nice (NICE) Operating Expenses (2009 - 2026)
Nice's Operating Expenses was $765.06 million in the quarter ended Jun 30, 2026, up 107.9% from the prior quarter.
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Analysis
Nice (NICE) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nice's Operating Expenses was $2.11 billion through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at $1.31 billion, up 2.4% from the prior year.
- Operating Expenses has now increased for ten consecutive years, with a five-year compound annual growth rate of 9.2% (years ended Dec 2020 to Dec 2025).
- In earlier years, Operating Expenses was $1.28 billion in the year ended Dec 31, 2024 (+9.0%), $1.17 billion in the year ended Dec 31, 2023 (+1.0%), $1.16 billion in the year ended Dec 31, 2022 (+12.6%) and $1.03 billion in the year ended Dec 31, 2021 (+22.4%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Operating Expenses since the quarter ended Sep 30, 2022.
- Compared with a year earlier, Operating Expenses was higher in three of the last four quarters, with growth averaging 31.4%.
- The best year-over-year quarter for Operating Expenses over five years was the quarter ended Dec 31, 2025 (growth of 186.3%); the worst was the quarter ended Dec 31, 2024 (a decline of 77.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 641.32 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 1.27 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 691.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 765.06 Mn |
| Mar 31, 2026 | 368.05 Mn |
| Dec 31, 2025 | 9.07 Mn |
| Sep 30, 2025 | 972.76 Mn |
| Jun 30, 2025 | 644.46 Mn |
| Mar 31, 2025 | 319.94 Mn |
| Dec 31, 2024 | 3.17 Mn |
| Sep 30, 2024 | 944.89 Mn |
| Jun 30, 2024 | 310.79 Mn |
| Mar 31, 2024 | 315.20 Mn |
| Dec 31, 2023 | 13.99 Mn |
| Sep 30, 2023 | 874.46 Mn |
| Jun 30, 2023 | 285.97 Mn |
| Mar 31, 2023 | 291.76 Mn |
| Dec 31, 2022 | -557.34 Mn |
| Sep 30, 2022 | 862.68 Mn |
| Jun 30, 2022 | 569.03 Mn |
| Mar 31, 2022 | 288.06 Mn |
| Dec 31, 2021 | -437.76 Mn |
| Sep 30, 2021 | 747.62 Mn |
API Access
Nice Operating 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=operating-expenses&ticker=NICE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=NICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();