Compass (COMP) Total Liabilities (2020 - 2026)
Compass' Total Liabilities was $5.35 billion in Q2 2026, up 514.3% from $870.1 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Compass (COMP) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Compass came in at $753 million, down 1.6% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -19.5% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $765 million in FY2024 (+5.0%), $728.3 million in FY2023 (-28.1%), $1.01 billion in FY2022 (+6.2%) and $953 million in FY2021 (-57.2%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2020.
- Compared with a year earlier, Total Liabilities was higher in six of the last eight quarters, with growth averaging 127.5%.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2026 (growth of 514.3%); the worst was Q1 2022 (a decline of 58.0%).
- Per Business Quant data, COMP's Total Liabilities in the three quarters before Q2 2026 was $5.29 billion (Q1 2026), $753 million (Q4 2025) and $775.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 21.75 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 9.86 Bn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 5.35 Bn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 4.29 Bn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 5.53 Bn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 3.46 Bn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 186.88 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 258.32 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 315.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.35 Bn |
| Mar 31, 2026 | 5.29 Bn |
| Dec 31, 2025 | 753.00 Mn |
| Sep 30, 2025 | 775.10 Mn |
| Jun 30, 2025 | 870.10 Mn |
| Mar 31, 2025 | 903.60 Mn |
| Dec 31, 2024 | 765.00 Mn |
| Sep 30, 2024 | 768.70 Mn |
| Jun 30, 2024 | 813.50 Mn |
| Mar 31, 2024 | 811.40 Mn |
| Dec 31, 2023 | 728.30 Mn |
| Sep 30, 2023 | 786.20 Mn |
| Jun 30, 2023 | 972.90 Mn |
| Mar 31, 2023 | 1.05 Bn |
| Dec 31, 2022 | 1.01 Bn |
| Sep 30, 2022 | 947.50 Mn |
| Jun 30, 2022 | 959.60 Mn |
| Mar 31, 2022 | 921.00 Mn |
| Dec 31, 2021 | 953.00 Mn |
| Sep 30, 2021 | 917.30 Mn |
API Access
Compass 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=COMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=COMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();