Cbre (CBRE) EBITDA (2009 - 2026)
Cbre (CBRE) reported EBITDA of $605 million for Q2 2026, up 5.4% from $574 million a year earlier but down 18.7% from the prior quarter.
Cbre (CBRE) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cbre's EBITDA came in at $2.92 billion, up 18.6% year-over-year; for FY2025, it came in at $2.68 billion, up 17.5% from FY2024.
- EBITDA has a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- By year, EBITDA came in at $2.28 billion in FY2024 (+19.7%), $1.91 billion in FY2023 (-10.3%), $2.13 billion in FY2022 (-1.8%) and $2.16 billion in FY2021 (+47.0%).
- Five-year quarterly EBITDA spans a low of $199 million in Q1 2023 and a high of $858 million in Q4 2025.
- Year over year, EBITDA has now increased in each of the last eight quarters, with growth averaging 24.6% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q1 2024 (growth of 105.5%); the low point was Q1 2023 (a decline of 62.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $744 million (Q1 2026), $858 million (Q4 2025) and $711 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 38.10 Bn | 18.80 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.79 Bn | 31.56 Bn | 2.09 Bn | 605.00 Mn |
| 3 | Jones Lang Lasalle | 14.45 Bn | 12.66 Bn | - | 402.90 Mn |
| 4 | Compass | 6.85 Bn | 5.32 Bn | - | 277.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.67 Bn | 635.11 Mn | 72.52 Mn |
| 6 | Cushman & Wakefield | 2.78 Bn | 264.20 Mn | 512.00 Mn | 162.70 Mn |
| 7 | Newmark | 1.99 Bn | 1.37 Bn | - | 124.65 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 194.81 Mn | - | 4.56 Mn |
| 9 | Rmr | 593.80 Mn | 518.26 Mn | - | -4.86 Mn |
| 10 | Agnt | 586.58 Mn | 116.27 Mn | 98.80 Mn | 3.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 605.00 Mn |
| Mar 31, 2026 | 744.00 Mn |
| Dec 31, 2025 | 858.00 Mn |
| Sep 30, 2025 | 711.00 Mn |
| Jun 30, 2025 | 574.00 Mn |
| Mar 31, 2025 | 466.00 Mn |
| Dec 31, 2024 | 826.00 Mn |
| Sep 30, 2024 | 594.00 Mn |
| Jun 30, 2024 | 452.00 Mn |
| Mar 31, 2024 | 409.00 Mn |
| Dec 31, 2023 | 661.00 Mn |
| Sep 30, 2023 | 418.00 Mn |
| Jun 30, 2023 | 461.00 Mn |
| Mar 31, 2023 | 199.00 Mn |
| Dec 31, 2022 | 403.23 Mn |
| Sep 30, 2022 | 516.49 Mn |
| Jun 30, 2022 | 679.30 Mn |
| Mar 31, 2022 | 525.98 Mn |
| Dec 31, 2021 | 754.04 Mn |
| Sep 30, 2021 | 532.23 Mn |
Cbre EBITDA 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=ebitda&ticker=CBRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "CBRE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=CBRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();