Cbre (CBRE) Total Non-Current Liabilities (2009 - 2026)
Cbre (CBRE) posted Total Non-Current Liabilities of $20.11 billion for Q2 2026, up 12.6% from $17.86 billion a year earlier and up 1.7% from the prior quarter.
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Analysis
Cbre (CBRE) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Cbre's Total Non-Current Liabilities came in at $17.23 billion, down 2.7% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 20.8% (FY2020 to FY2025).
- In prior years, Cbre's Total Non-Current Liabilities was $17.7 billion in FY2024 (+2.4%), $17.29 billion in FY2023 (+9.0%), $15.86 billion in FY2022 (+78.7%) and $8.88 billion in FY2021 (+32.5%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 17.4%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2022, with growth of 78.7%; the weakest was Q4 2025, with a decline of 2.7%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $19.77 billion (Q1 2026), $17.23 billion (Q4 2025) and $18.4 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.36 Bn | 32.67 Bn | 2.09 Bn | 19.91 Bn |
| 2 | KE Holdings | 19.22 Bn | -7.96 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 14.13 Bn | 12.21 Bn | - | 8.67 Bn |
| 4 | Compass | 7.35 Bn | 5.81 Bn | - | 5.20 Bn |
| 5 | Colliers International | 4.71 Bn | 3.79 Bn | 635.11 Mn | 4.22 Bn |
| 6 | Cushman & Wakefield | 2.71 Bn | 188.79 Mn | 512.00 Mn | 5.27 Bn |
| 7 | Newmark | 2.05 Bn | 1.13 Bn | - | 3.21 Bn |
| 8 | Marcus & Millichap | 1.07 Bn | 162.71 Mn | - | 149.48 Mn |
| 9 | Agnt | 658.83 Mn | 188.51 Mn | 98.80 Mn | - |
| 10 | Rmr | 290.57 Mn | 40.65 Mn | - | 303.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.91 Bn |
| Mar 31, 2026 | 19.57 Bn |
| Dec 31, 2025 | 20.16 Bn |
| Sep 30, 2025 | 18.22 Bn |
| Jun 30, 2025 | 17.68 Bn |
| Mar 31, 2025 | 16.63 Bn |
| Dec 31, 2024 | 14.09 Bn |
| Sep 30, 2024 | 14.17 Bn |
| Jun 30, 2024 | 13.24 Bn |
| Mar 31, 2024 | 12.82 Bn |
| Dec 31, 2023 | 12.39 Bn |
| Sep 30, 2023 | 11.99 Bn |
| Jun 30, 2023 | 11.54 Bn |
| Mar 31, 2023 | 11.13 Bn |
| Dec 31, 2022 | 10.69 Bn |
| Sep 30, 2022 | 10.58 Bn |
| Jun 30, 2022 | 10.49 Bn |
| Mar 31, 2022 | 10.73 Bn |
| Dec 31, 2021 | 11.48 Bn |
| Sep 30, 2021 | 10.87 Bn |
API Access
Cbre Total Non-Current 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-non-current-liabilities&ticker=CBRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=CBRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();