Newmark (NMRK) Amortizatization of Intangibles (2017 - 2026)
Newmark's Amortizatization of Intangibles was $38.26 million in Q2 2026, down 1.6% from $38.88 million a year earlier but up 15.0% from the prior quarter.
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Analysis
Newmark (NMRK) Amortizatization of Intangibles (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Newmark's Amortizatization of Intangibles was $155.58 million through Jun 30, 2026, up 17.0% year-over-year; for FY2025, it came in at $155.27 million, up 25.4% from FY2024.
- Amortizatization of Intangibles has now increased for seven consecutive years, with a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- In earlier years, Amortizatization of Intangibles was $123.86 million in FY2024 (+33.3%), $92.94 million in FY2023 (+10.5%), $84.12 million in FY2022 (+5.9%) and $79.42 million in FY2021 (+7.9%).
- Quarterly Amortizatization of Intangibles has moved between $14.25 million (Q4 2023) and $44.06 million (Q4 2025) over five years.
- Compared with a year earlier, Amortizatization of Intangibles was higher in seven of the last eight quarters, with growth averaging 29.1%.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q4 2024 (growth of 125.2%); the worst was Q4 2023 (a decline of 38.4%).
- Per Business Quant data, NMRK's Amortizatization of Intangibles in the three quarters before Q2 2026 was $33.28 million (Q1 2026), $44.06 million (Q4 2025) and $39.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn | 50.00 Mn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - | - |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn | - |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | 38.26 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - | - |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn | 602,000.00 |
| 10 | Rmr | 568.78 Mn | 493.24 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.26 Mn |
| Mar 31, 2026 | 33.28 Mn |
| Dec 31, 2025 | 44.06 Mn |
| Sep 30, 2025 | 39.98 Mn |
| Jun 30, 2025 | 38.88 Mn |
| Mar 31, 2025 | 32.36 Mn |
| Dec 31, 2024 | 32.08 Mn |
| Sep 30, 2024 | 29.70 Mn |
| Jun 30, 2024 | 30.87 Mn |
| Mar 31, 2024 | 31.20 Mn |
| Dec 31, 2023 | 14.25 Mn |
| Sep 30, 2023 | 28.27 Mn |
| Jun 30, 2023 | 25.04 Mn |
| Mar 31, 2023 | 25.38 Mn |
| Dec 31, 2022 | 23.14 Mn |
| Sep 30, 2022 | 21.41 Mn |
| Jun 30, 2022 | 20.70 Mn |
| Mar 31, 2022 | 18.86 Mn |
| Dec 31, 2021 | 25.43 Mn |
| Sep 30, 2021 | 17.22 Mn |
API Access
Newmark Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=NMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "NMRK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=NMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();