Cbre (CBRE) Total Liabilities (2009 - 2026)
Cbre (CBRE) recorded Total Liabilities of $22.31 billion in Q3 2026, up 13.4% from $19.68 billion a year earlier and up 2.6% from the prior quarter.
Analysis
Cbre (CBRE) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Cbre reported Total Liabilities of $21.68 billion, up 42.7% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $15.19 billion in FY2024 (+12.7%), $13.48 billion in FY2023 (+13.2%), $11.91 billion in FY2022 (-6.4%) and $12.71 billion in FY2021 (+16.4%).
- The Q3 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Total Liabilities has increased for 15 consecutive quarters, with growth averaging 24.2% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 42.7% in Q4 2025, against a decline of 6.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $21.75 billion (Q2 2026), $21.31 billion (Q1 2026) and $21.68 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.37 Bn | 32.67 Bn | 2.13 Bn | 22.31 Bn |
| 2 | KE Holdings | 20.10 Bn | -9.36 Bn | - | 7.17 Bn |
| 3 | Jones Lang Lasalle | 17.12 Bn | 15.11 Bn | - | 10.43 Bn |
| 4 | Compass | 7.90 Bn | 6.35 Bn | - | 5.35 Bn |
| 5 | Colliers International | 4.78 Bn | 3.93 Bn | - | 5.25 Bn |
| 6 | Cushman & Wakefield | 3.30 Bn | 929.10 Mn | 486.30 Mn | 5.64 Bn |
| 7 | Newmark | 2.11 Bn | 1.18 Bn | - | 3.46 Bn |
| 8 | Marcus & Millichap | 987.28 Mn | 84.22 Mn | - | 186.88 Mn |
| 9 | Agnt | 526.15 Mn | 57.18 Mn | 90.97 Mn | 204.38 Mn |
| 10 | Rmr | 257.24 Mn | 7.32 Mn | - | 315.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 22.31 Bn |
| Jun 30, 2026 | 21.75 Bn |
| Mar 31, 2026 | 21.31 Bn |
| Dec 31, 2025 | 21.68 Bn |
| Sep 30, 2025 | 19.68 Bn |
| Jun 30, 2025 | 19.11 Bn |
| Mar 31, 2025 | 17.73 Bn |
| Dec 31, 2024 | 15.19 Bn |
| Sep 30, 2024 | 15.29 Bn |
| Jun 30, 2024 | 14.27 Bn |
| Mar 31, 2024 | 13.87 Bn |
| Dec 31, 2023 | 13.48 Bn |
| Sep 30, 2023 | 13.23 Bn |
| Jun 30, 2023 | 12.84 Bn |
| Mar 31, 2023 | 12.39 Bn |
| Dec 31, 2022 | 11.91 Bn |
| Sep 30, 2022 | 11.58 Bn |
| Jun 30, 2022 | 11.54 Bn |
| Mar 31, 2022 | 11.86 Bn |
| Dec 31, 2021 | 12.71 Bn |
API Access
Cbre Total Liabilities 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=total-liabilities&ticker=CBRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CBRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();