Nice (NICE) Selling, General & Administrative (2009 - 2026)
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Analysis
Nice (NICE) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | 488.00 Mn |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | 179.00 Mn |
| 3 | Atlassian | 39.98 Bn | 33.26 Bn | 1.53 Bn | 168.19 Mn |
| 4 | Twilio | 30.87 Bn | 20.51 Bn | 760.53 Mn | 114.89 Mn |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | 98.16 Mn |
| 6 | Figma | 10.00 Bn | 3.32 Bn | 314.44 Mn | 97.75 Mn |
| 7 | Dropbox | 7.80 Bn | 3.43 Bn | 506.50 Mn | 63.80 Mn |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | 112.03 Mn |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | 69.43 Mn |
| 10 | Nice | 5.99 Bn | 4.56 Bn | 1.49 Bn | 252.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 252.99 Mn |
| 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 |
API Access
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_KEYimport 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();