Newmark (NMRK) Selling, General & Administrative (2017 - 2026)
Newmark (NMRK) recorded Selling, General & Administrative of $186.14 million in Q2 2026, up 23.3% from $151.01 million a year earlier and up 2.6% from the prior quarter.
Newmark (NMRK) Selling, General & Administrative (2017 - 2026) Analysis & Trends
On a TTM basis, Newmark's Selling, General & Administrative came in at $721.54 million as of Jun 30, 2026, up 17.0% year-over-year; for FY2025, it was $658.94 million, up 10.3% from FY2024.
- Annual Selling, General & Administrative has increased for three straight years, with a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $597.59 million in FY2024 (+11.3%), $536.7 million in FY2023 (+0.3%), $534.84 million in FY2022 (-3.4%) and $553.62 million in FY2021 (+88.0%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2017.
- On a year-over-year basis, Selling, General & Administrative has increased for ten consecutive quarters, with growth averaging 14.1% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 146.6% in Q3 2021, against a decline of 20.3% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $181.44 million (Q1 2026), $178.61 million (Q4 2025) and $175.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | -300.18 Mn |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | - |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 93.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 436.75 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 349.30 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 186.14 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 71.69 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 71.58 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 10.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 186.14 Mn |
| Mar 31, 2026 | 181.44 Mn |
| Dec 31, 2025 | 178.61 Mn |
| Sep 30, 2025 | 175.34 Mn |
| Jun 30, 2025 | 151.01 Mn |
| Mar 31, 2025 | 153.98 Mn |
| Dec 31, 2024 | 159.97 Mn |
| Sep 30, 2024 | 151.94 Mn |
| Jun 30, 2024 | 147.74 Mn |
| Mar 31, 2024 | 137.94 Mn |
| Dec 31, 2023 | 129.96 Mn |
| Sep 30, 2023 | 140.93 Mn |
| Jun 30, 2023 | 146.83 Mn |
| Mar 31, 2023 | 118.98 Mn |
| Dec 31, 2022 | 138.96 Mn |
| Sep 30, 2022 | 121.38 Mn |
| Jun 30, 2022 | 136.63 Mn |
| Mar 31, 2022 | 137.87 Mn |
| Dec 31, 2021 | 159.08 Mn |
| Sep 30, 2021 | 152.36 Mn |
Newmark 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=NMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();