Compass (COMP) Selling, General & Administrative (2020 - 2026)
Compass (COMP) recorded Selling, General & Administrative of $93 million in Q2 2026, up 173.5% from $34 million a year earlier and up 14.8% from the prior quarter.
Compass (COMP) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a TTM basis, Compass' Selling, General & Administrative came in at $257.5 million as of Jun 30, 2026, up 112.6% year-over-year; for FY2025, it came in at $144.3 million, down 12.7% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $165.2 million in FY2024 (+31.4%), $125.7 million in FY2023 (-39.6%), $208.1 million in FY2022 (-27.9%) and $288.5 million in FY2021 (+172.7%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2020.
- On a year-over-year basis, Selling, General & Administrative has increased for five consecutive quarters, with growth averaging 56.0% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 250.2% in Q3 2021, against a decline of 67.2% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $81 million (Q1 2026), $43.4 million (Q4 2025) and $40.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.52 Bn | 32.82 Bn | 2.13 Bn | - |
| 2 | KE Holdings | 21.08 Bn | -6.10 Bn | 1.03 Bn | 300.18 Mn |
| 3 | Jones Lang Lasalle | 17.25 Bn | 15.25 Bn | - | - |
| 4 | Compass | 7.74 Bn | 6.19 Bn | - | 93.00 Mn |
| 5 | Colliers International | 4.85 Bn | 3.90 Bn | 637.29 Mn | 435.30 Mn |
| 6 | Cushman & Wakefield | 3.36 Bn | 984.26 Mn | 486.30 Mn | 329.60 Mn |
| 7 | Newmark | 2.14 Bn | 1.21 Bn | - | 186.14 Mn |
| 8 | Marcus & Millichap | 1.04 Bn | 138.88 Mn | - | 71.69 Mn |
| 9 | Agnt | 552.16 Mn | 83.20 Mn | 90.97 Mn | 66.10 Mn |
| 10 | Rmr | 262.86 Mn | 12.94 Mn | - | 10.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93.00 Mn |
| Mar 31, 2026 | 81.00 Mn |
| Dec 31, 2025 | 43.40 Mn |
| Sep 30, 2025 | 40.10 Mn |
| Jun 30, 2025 | 34.00 Mn |
| Mar 31, 2025 | 27.00 Mn |
| Dec 31, 2024 | 32.70 Mn |
| Sep 30, 2024 | 27.40 Mn |
| Jun 30, 2024 | 22.90 Mn |
| Mar 31, 2024 | 82.20 Mn |
| Dec 31, 2023 | 32.40 Mn |
| Sep 30, 2023 | 24.20 Mn |
| Jun 30, 2023 | 34.70 Mn |
| Mar 31, 2023 | 34.40 Mn |
| Dec 31, 2022 | 41.10 Mn |
| Sep 30, 2022 | 56.50 Mn |
| Jun 30, 2022 | 55.20 Mn |
| Mar 31, 2022 | 55.30 Mn |
| Dec 31, 2021 | 56.70 Mn |
| Sep 30, 2021 | 79.50 Mn |
Compass 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=COMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "COMP", "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=COMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();