Compass (COMP) Total Non-Current Liabilities (2020 - 2026)
Compass' Total Non-Current Liabilities came in at $5.2 billion for Q2 2026, up 519.4% from $839.3 million a year earlier and up 0.9% from the prior quarter.
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Analysis
Compass (COMP) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Compass' Total Non-Current Liabilities was $721 million, down 1.8% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -19.9% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $734 million in FY2024 (+3.8%), $707.4 million in FY2023 (-29.1%), $998.4 million in FY2022 (+7.5%) and $928.6 million in FY2021 (-57.6%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- Year-over-year, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 128.6%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 519.4%), and the weakest in Q1 2022 (a decline of 58.5%).
- Business Quant data shows COMP's Total Non-Current Liabilities at $5.16 billion (Q1 2026), $721 million (Q4 2025) and $743.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current 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 | 20.11 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 9.08 Bn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 5.20 Bn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 4.22 Bn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 5.27 Bn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 3.21 Bn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 156.40 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | - |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 303.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.20 Bn |
| Mar 31, 2026 | 5.16 Bn |
| Dec 31, 2025 | 721.00 Mn |
| Sep 30, 2025 | 743.40 Mn |
| Jun 30, 2025 | 839.30 Mn |
| Mar 31, 2025 | 867.60 Mn |
| Dec 31, 2024 | 734.00 Mn |
| Sep 30, 2024 | 742.10 Mn |
| Jun 30, 2024 | 786.60 Mn |
| Mar 31, 2024 | 791.90 Mn |
| Dec 31, 2023 | 707.40 Mn |
| Sep 30, 2023 | 767.40 Mn |
| Jun 30, 2023 | 955.30 Mn |
| Mar 31, 2023 | 1.03 Bn |
| Dec 31, 2022 | 998.40 Mn |
| Sep 30, 2022 | 932.00 Mn |
| Jun 30, 2022 | 937.90 Mn |
| Mar 31, 2022 | 898.20 Mn |
| Dec 31, 2021 | 928.60 Mn |
| Sep 30, 2021 | 890.20 Mn |
API Access
Compass 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=COMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=COMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();