Compass (COMP) Operating Expenses (2020 - 2026)
Compass' Operating Expenses was $4.18 billion in Q2 2026, up 106.9% from $2.02 billion a year earlier and up 36.9% from the prior quarter.
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Analysis
Compass (COMP) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Compass' Operating Expenses was $10.83 billion through Jun 30, 2026, up 70.6% year-over-year; for FY2025, it was $7.03 billion, up 21.5% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $5.78 billion in FY2024 (+11.2%), $5.2 billion in FY2023 (-21.3%), $6.61 billion in FY2022 (-4.4%) and $6.91 billion in FY2021 (+73.1%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2020.
- Compared with a year earlier, Operating Expenses has increased for ten straight quarters, with growth averaging 42.3% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2026 (growth of 116.7%); the worst was Q1 2023 (a decline of 30.1%).
- Per Business Quant data, COMP's Operating Expenses in the three quarters before Q2 2026 was $3.06 billion (Q1 2026), $1.74 billion (Q4 2025) and $1.85 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn | - |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn | -587.69 Mn |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - | 6.64 Bn |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - | 4.18 Bn |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn | 485.10 Mn |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn | 2.63 Bn |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - | 848.02 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - | 200.70 Mn |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn | 97.16 Mn |
| 10 | Rmr | 587.71 Mn | 512.17 Mn | - | 162.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.18 Bn |
| Mar 31, 2026 | 3.06 Bn |
| Dec 31, 2025 | 1.74 Bn |
| Sep 30, 2025 | 1.85 Bn |
| Jun 30, 2025 | 2.02 Bn |
| Mar 31, 2025 | 1.41 Bn |
| Dec 31, 2024 | 1.42 Bn |
| Sep 30, 2024 | 1.50 Bn |
| Jun 30, 2024 | 1.68 Bn |
| Mar 31, 2024 | 1.19 Bn |
| Dec 31, 2023 | 1.18 Bn |
| Sep 30, 2023 | 1.38 Bn |
| Jun 30, 2023 | 1.54 Bn |
| Mar 31, 2023 | 1.11 Bn |
| Dec 31, 2022 | 1.26 Bn |
| Sep 30, 2022 | 1.65 Bn |
| Jun 30, 2022 | 2.12 Bn |
| Mar 31, 2022 | 1.58 Bn |
| Dec 31, 2021 | 1.78 Bn |
| Sep 30, 2021 | 1.84 Bn |
API Access
Compass Operating Expenses 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=operating-expenses&ticker=COMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=COMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();