Nice (NICE) Price to Book (2009 - 2025)
Nice's (NICE) Price to Book stood at 1.76 in the year ended Dec 31, 2025, down 40.9% from 2.98 a year earlier.
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Analysis
Nice (NICE) Price to Book (2009 - 2025) Analysis & Trends
Starting with the year ended Dec 31, 2009, Nice's Price to Book history includes 17 years.
- Annual Price to Book has declined for five straight years.
- The figure for the year ended Dec 31, 2025 is the lowest annual Price to Book since the year ended Dec 31, 2012.
- Per Business Quant data, NICE's Price to Book was 2.98 in the year ended Dec 31, 2024 (-20.3%), 3.74 in the year ended Dec 31, 2023 (-6.6%), 4.01 in the year ended Dec 31, 2022 (-41.0%) and 6.79 in the year ended Dec 31, 2021 (-1.7%).
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 | 1.76 |
| Sep 30, 2025 | 2.37 |
| Jun 30, 2025 | 2.86 |
| Mar 31, 2025 | 2.79 |
| Dec 31, 2024 | 2.98 |
| Sep 30, 2024 | 3.05 |
| Jun 30, 2024 | 3.12 |
| Mar 31, 2024 | 4.74 |
| Dec 31, 2023 | 3.74 |
| Sep 30, 2023 | 3.35 |
| Jun 30, 2023 | 4.11 |
| Mar 31, 2023 | 4.65 |
| Dec 31, 2022 | 4.01 |
| Sep 30, 2022 | 4.08 |
| Jun 30, 2022 | 4.26 |
| Mar 31, 2022 | 4.90 |
| Dec 31, 2021 | 6.79 |
| Sep 30, 2021 | 6.46 |
| Jun 30, 2021 | 5.79 |
| Mar 31, 2021 | 5.25 |
API Access
Nice Price to Book 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=price-to-book&ticker=NICE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=NICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();