Douglas Elliman (DOUG) Total Non-Current Liabilities (2020 - 2026)
Douglas Elliman (DOUG) posted Total Non-Current Liabilities of $275.4 million for Q2 2026, down 9.2% from $303.45 million a year earlier but up 3.9% from the prior quarter.
Douglas Elliman (DOUG) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Douglas Elliman's Total Non-Current Liabilities came in at $255.46 million, down 15.2% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- In prior years, Douglas Elliman's Total Non-Current Liabilities was $301.21 million in FY2024 (+16.2%), $259.13 million in FY2023 (-7.3%), $279.64 million in FY2022 (-10.7%) and $313.11 million in FY2021 (+8.7%).
- Quarterly Total Non-Current Liabilities has run from a low of $255.28 million in Q1 2024 to a high of $313.11 million in Q4 2021 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last three quarters, with growth averaging 3.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2025, with growth of 19.4%; the weakest was Q4 2025, with a decline of 15.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $264.98 million (Q1 2026), $255.46 million (Q4 2025) and $302.12 million (Q3 2025).
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 | Douglas Elliman | 137.24 Mn | -322.46 Mn | 41.42 Mn | 275.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 275.40 Mn |
| Mar 31, 2026 | 264.98 Mn |
| Dec 31, 2025 | 255.46 Mn |
| Sep 30, 2025 | 302.12 Mn |
| Jun 30, 2025 | 303.45 Mn |
| Mar 31, 2025 | 304.77 Mn |
| Dec 31, 2024 | 301.21 Mn |
| Sep 30, 2024 | 293.28 Mn |
| Jun 30, 2024 | 256.42 Mn |
| Mar 31, 2024 | 255.28 Mn |
| Dec 31, 2023 | 259.13 Mn |
| Sep 30, 2023 | 263.29 Mn |
| Jun 30, 2023 | 267.22 Mn |
| Mar 31, 2023 | 265.43 Mn |
| Dec 31, 2022 | 279.64 Mn |
| Sep 30, 2022 | 289.33 Mn |
| Jun 30, 2022 | 298.61 Mn |
| Mar 31, 2022 | 300.92 Mn |
| Dec 31, 2021 | 313.11 Mn |
| Dec 31, 2020 | 288.11 Mn |
Douglas Elliman 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=DOUG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "DOUG", "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=DOUG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();