Douglas Elliman (DOUG) Non-Current Assets (2020 - 2026)
Douglas Elliman (DOUG) recorded Non-Current Assets of $284.08 million in Q2 2026, down 4.2% from $296.57 million a year earlier and unchanged from the prior quarter.
Douglas Elliman (DOUG) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Douglas Elliman reported Non-Current Assets of $283.11 million, down 4.9% from FY2024.
- Annual Non-Current Assets has declined for three straight years, with a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $297.82 million in FY2024 (-4.6%), $312.14 million in FY2023 (-4.1%), $325.34 million in FY2022 (+3.5%) and $314.36 million in FY2021 (+2.9%).
- Quarterly Non-Current Assets has ranged from $283.11 million in Q4 2025 to $325.34 million in Q4 2022 over the past five years.
- On a year-over-year basis, Non-Current Assets has declined for 13 consecutive quarters, with an average decline of 4.0% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 3.5% in Q4 2022, against a decline of 5.4% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $284.04 million (Q1 2026), $283.11 million (Q4 2025) and $287.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | 6.17 Bn |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 17.56 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 9.64 Bn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 6.95 Bn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 691,926.00 |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 4.93 Bn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 3.10 Bn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 495.16 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 147.78 Mn |
| 10 | Douglas Elliman | 137.24 Mn | -322.46 Mn | 41.42 Mn | 284.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 284.08 Mn |
| Mar 31, 2026 | 284.04 Mn |
| Dec 31, 2025 | 283.11 Mn |
| Sep 30, 2025 | 287.68 Mn |
| Jun 30, 2025 | 296.57 Mn |
| Mar 31, 2025 | 297.91 Mn |
| Dec 31, 2024 | 297.82 Mn |
| Sep 30, 2024 | 297.12 Mn |
| Jun 30, 2024 | 302.47 Mn |
| Mar 31, 2024 | 306.30 Mn |
| Dec 31, 2023 | 312.14 Mn |
| Sep 30, 2023 | 314.07 Mn |
| Jun 30, 2023 | 318.73 Mn |
| Mar 31, 2023 | 318.73 Mn |
| Dec 31, 2022 | 325.34 Mn |
| Sep 30, 2022 | 323.08 Mn |
| Jun 30, 2022 | 322.72 Mn |
| Mar 31, 2022 | 311.97 Mn |
| Dec 31, 2021 | 314.36 Mn |
| Dec 31, 2020 | 305.62 Mn |
Douglas Elliman Non-Current Assets 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=non-current-assets&ticker=DOUG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DOUG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();