Newmark (NMRK) Total Non-Current Liabilities (2016 - 2026)
Newmark (NMRK) reported Total Non-Current Liabilities of $3.21 billion for Q2 2026, down 11.8% from $3.64 billion a year earlier and down 4.9% from the prior quarter.
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Analysis
Newmark (NMRK) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Newmark posted Total Non-Current Liabilities of $3.03 billion, up 2.5% from FY2024.
- Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $2.95 billion in FY2024 (+11.5%), $2.65 billion in FY2023 (+19.4%), $2.22 billion in FY2022 (-33.6%) and $3.34 billion in FY2021 (+27.5%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $2.22 billion in Q4 2022 and a high of $3.64 billion in Q2 2025.
- Year over year, Total Non-Current Liabilities gained in seven of the last eight quarters, with growth averaging 10.4%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2021 (growth of 27.5%); the low point was Q4 2022 (a decline of 33.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.37 billion (Q1 2026), $3.03 billion (Q4 2025) and $3.63 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 40.70 Bn | 13.61 Bn | 1.03 Bn | - |
| 2 | Cbre | 38.87 Bn | 32.63 Bn | 2.13 Bn | 20.30 Bn |
| 3 | Jones Lang Lasalle | 17.10 Bn | 15.24 Bn | - | 9.19 Bn |
| 4 | Compass | 7.63 Bn | 5.42 Bn | - | 5.29 Bn |
| 5 | Colliers International | 4.71 Bn | 3.76 Bn | 637.29 Mn | 4.20 Bn |
| 6 | Cushman & Wakefield | 3.26 Bn | 888.95 Mn | 486.30 Mn | 5.38 Bn |
| 7 | Newmark | 1.79 Bn | 649.67 Mn | 596.85 Mn | 3.74 Bn |
| 8 | Marcus & Millichap | 934.37 Mn | 31.72 Mn | 74.92 Mn | 169.25 Mn |
| 9 | Rmr | 505.91 Mn | 430.36 Mn | - | 303.64 Mn |
| 10 | Agnt | 476.02 Mn | 7.06 Mn | 90.97 Mn | 1.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.74 Bn |
| Jun 30, 2026 | 3.21 Bn |
| Mar 31, 2026 | 3.37 Bn |
| Dec 31, 2025 | 3.03 Bn |
| Sep 30, 2025 | 3.63 Bn |
| Jun 30, 2025 | 3.64 Bn |
| Mar 31, 2025 | 3.05 Bn |
| Dec 31, 2024 | 2.95 Bn |
| Sep 30, 2024 | 3.27 Bn |
| Jun 30, 2024 | 2.98 Bn |
| Mar 31, 2024 | 2.62 Bn |
| Dec 31, 2023 | 2.65 Bn |
| Sep 30, 2023 | 2.70 Bn |
| Jun 30, 2023 | 3.20 Bn |
| Mar 31, 2023 | 2.71 Bn |
| Dec 31, 2022 | 2.22 Bn |
| Sep 30, 2022 | 3.04 Bn |
| Jun 30, 2022 | 2.87 Bn |
| Mar 31, 2022 | 2.61 Bn |
| Dec 31, 2021 | 3.34 Bn |
API Access
Newmark 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=NMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NMRK", "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=NMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();