Cbre (CBRE) Change in Accured Expenses (2009 - 2026)
Cbre (CBRE) posted Change in Accured Expenses of $138 million for Q2 2026, up 91.7% from $72 million a year earlier.
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Analysis
Cbre (CBRE) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Cbre was $651 million, up 14.8% year-over-year; for FY2025, it was $570 million, up 0.7% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 40.1% (FY2020 to FY2025).
- In prior years, Cbre's Change in Accured Expenses was $566 million in FY2024, -$173 million in FY2023, $64 million in FY2022 (-91.2%) and $730 million in FY2021 (+592.0%).
- Quarterly Change in Accured Expenses has run from a low of -$859 million in Q1 2025 to a high of $1.09 billion in Q4 2024 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in five of the last six quarters, with growth averaging 70.7%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q4 2024, with growth of 120.0%; the weakest was Q2 2023, with a decline of 78.2%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$844 million (Q1 2026), $1 billion (Q4 2025) and $356 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn | 138.00 Mn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - | 10.10 Mn |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - | -63.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 85.81 Mn |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn | -25.90 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | 2.95 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - | 5.31 Mn |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn | 36.44 Mn |
| 10 | Rmr | 568.78 Mn | 493.24 Mn | - | 11.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.00 Mn |
| Mar 31, 2026 | -844.00 Mn |
| Dec 31, 2025 | 1.00 Bn |
| Sep 30, 2025 | 356.00 Mn |
| Jun 30, 2025 | 72.00 Mn |
| Mar 31, 2025 | -859.00 Mn |
| Dec 31, 2024 | 1.09 Bn |
| Sep 30, 2024 | 263.00 Mn |
| Jun 30, 2024 | 36.00 Mn |
| Mar 31, 2024 | -824.00 Mn |
| Dec 31, 2023 | 496.00 Mn |
| Sep 30, 2023 | 142.00 Mn |
| Jun 30, 2023 | 33.00 Mn |
| Mar 31, 2023 | -844.00 Mn |
| Dec 31, 2022 | 439.18 Mn |
| Sep 30, 2022 | 198.63 Mn |
| Jun 30, 2022 | 151.41 Mn |
| Mar 31, 2022 | -725.22 Mn |
| Dec 31, 2021 | 553.59 Mn |
| Sep 30, 2021 | 535.78 Mn |
API Access
Cbre Change in Accured 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=change-in-accured-expenses&ticker=CBRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=CBRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();