Nice (NICE) Selling, General & Administrative (2009 - 2026)
Nice (NICE) reported Selling, General & Administrative of $179.22 million for the quarter ended Jun 30, 2026, up 109.7% from the prior quarter.
Nice (NICE) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nice's Selling, General & Administrative came in at $609.38 million; for the year ended Dec 31, 2025, it was $288.81 million, up 4.3% from the prior year.
- Selling, General & Administrative has increased for 11 consecutive years, with a five-year compound annual growth rate of 9.8% (years ended Dec 2020 to Dec 2025).
- By year, Selling, General & Administrative came in at $276.94 million in the year ended Dec 31, 2024 (+9.8%), $252.29 million in the year ended Dec 31, 2023 (+2.3%), $246.53 million in the year ended Dec 31, 2022 (+9.4%) and $225.41 million in the year ended Dec 31, 2021 (+24.7%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Selling, General & Administrative in data going back to the quarter ended Mar 31, 2009.
- The high point for year-over-year Selling, General & Administrative in five years was the quarter ended Mar 31, 2026 (growth of 23.1%); the low point was the quarter ended Mar 31, 2025 (a decline of 4.1%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 488.00 Mn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 168.19 Mn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 118.43 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 179.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 98.16 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 104.72 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 63.80 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 179.22 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 64.32 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 112.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 179.22 Mn |
| Mar 31, 2026 | 85.47 Mn |
| Sep 30, 2025 | 210.33 Mn |
| Jun 30, 2025 | 134.37 Mn |
| Mar 31, 2025 | 69.41 Mn |
| Sep 30, 2024 | 213.60 Mn |
| Jun 30, 2024 | 66.63 Mn |
| Mar 31, 2024 | 72.35 Mn |
| Sep 30, 2023 | 188.26 Mn |
| Jun 30, 2023 | 55.37 Mn |
| Mar 31, 2023 | 65.18 Mn |
| Dec 31, 2022 | -105.22 Mn |
| Sep 30, 2022 | 176.93 Mn |
| Jun 30, 2022 | 115.94 Mn |
| Mar 31, 2022 | 58.87 Mn |
| Dec 31, 2021 | -98.91 Mn |
| Sep 30, 2021 | 165.24 Mn |
| Jun 30, 2021 | 106.11 Mn |
| Mar 31, 2021 | 52.97 Mn |
| Dec 31, 2020 | -93.20 Mn |
Nice Selling, General & Administrative 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=selling-general-and-administrative&ticker=NICE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();