Nice (NICE) Depreciation & Amortization (CF) (2009 - 2026)
Nice's Depreciation & Amortization (CF) came in at $124.22 million for the quarter ended Jun 30, 2026, up 100.9% from the prior quarter.
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Analysis
Nice (NICE) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Nice reported Depreciation & Amortization (CF) of $411.08 million; for the year ended Dec 31, 2025, it came in at $199.04 million, down 2.9% from the prior year.
- Depreciation & Amortization (CF) carries a five-year compound annual growth rate of 1.8% (years ended Dec 2020 to Dec 2025).
- Going back by year, Depreciation & Amortization (CF) was $205.02 million in the year ended Dec 31, 2024 (+22.5%), $167.36 million in the year ended Dec 31, 2023 (-5.2%), $176.55 million in the year ended Dec 31, 2022 (-4.1%) and $184.09 million in the year ended Dec 31, 2021 (+1.1%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Depreciation & Amortization (CF) since the quarter ended Sep 30, 2022.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in the quarter ended Mar 31, 2026 (growth of 42.4%), and the weakest in the quarter ended Mar 31, 2025 (a decline of 16.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 99.39 Bn | 74.64 Bn | 6.00 Bn | 215.00 Mn |
| 2 | Atlassian | 56.40 Bn | 49.68 Bn | 1.53 Bn | 39.43 Mn |
| 3 | Autodesk | 51.55 Bn | 39.59 Bn | 1.87 Bn | 50.00 Mn |
| 4 | Twilio | 41.87 Bn | 31.94 Bn | 725.87 Mn | 29.52 Mn |
| 5 | Zoom Communications | 28.87 Bn | -1.92 Bn | 985.50 Mn | 27.30 Mn |
| 6 | Figma | 12.14 Bn | 5.65 Bn | 309.61 Mn | - |
| 7 | Dropbox | 8.22 Bn | 3.86 Bn | 506.50 Mn | 36.40 Mn |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn | 124.22 Mn |
| 9 | RingCentral | 6.72 Bn | 6.21 Bn | 472.31 Mn | 57.09 Mn |
| 10 | Open Text | 6.42 Bn | 1.85 Bn | 1.01 Bn | 146.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 124.22 Mn |
| Mar 31, 2026 | 61.84 Mn |
| Sep 30, 2025 | 136.97 Mn |
| Jun 30, 2025 | 88.05 Mn |
| Mar 31, 2025 | 43.44 Mn |
| Sep 30, 2024 | 156.24 Mn |
| Jun 30, 2024 | 51.52 Mn |
| Mar 31, 2024 | 51.76 Mn |
| Sep 30, 2023 | 126.15 Mn |
| Jun 30, 2023 | 42.03 Mn |
| Mar 31, 2023 | 41.85 Mn |
| Dec 31, 2022 | -83.30 Mn |
| Sep 30, 2022 | 129.08 Mn |
| Jun 30, 2022 | 86.48 Mn |
| Mar 31, 2022 | 44.28 Mn |
| Dec 31, 2021 | -88.41 Mn |
| Sep 30, 2021 | 136.74 Mn |
| Jun 30, 2021 | 90.84 Mn |
| Mar 31, 2021 | 44.92 Mn |
| Dec 31, 2020 | -86.81 Mn |
API Access
Nice Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=NICE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=NICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();