Manhattan Bridge Capital (LOAN) Total Liabilities (2010 - 2026)
Manhattan Bridge Capital (LOAN) posted Total Liabilities of $18.69 million for Q3 2026, up 12.1% from $16.67 million a year earlier but down 11.0% from the prior quarter.
Manhattan Bridge Capital (LOAN) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Manhattan Bridge Capital's Total Liabilities came in at $19.25 million, down 20.1% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -7.1% (FY2020 to FY2025).
- In prior years, Manhattan Bridge Capital's Total Liabilities was $24.1 million in FY2024 (-28.1%), $33.5 million in FY2023 (+0.3%), $33.42 million in FY2022 (+40.3%) and $23.82 million in FY2021 (-14.6%).
- Quarterly Total Liabilities has run from a low of $16.67 million in Q3 2025 to a high of $33.5 million in Q4 2023 over five years.
- On a year-over-year basis, Total Liabilities increased in 1 of the last eight quarters, with an average decline of 16.1%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2022, with growth of 216.3%; the weakest was Q3 2025, with a decline of 39.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $21 million (Q2 2026), $21.15 million (Q1 2026) and $19.25 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 40.96 Bn | 29.78 Bn | - | 35.84 Bn |
| 2 | Orix | 36.82 Bn | 3.63 Bn | - | 84.02 Bn |
| 3 | Royalty Pharma | 30.51 Bn | 27.88 Bn | - | 9.67 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.64 Bn | 26.64 Bn | - | 4,198.25 Bn |
| 5 | Royal Gold | 23.60 Bn | 22.77 Bn | 390.45 Mn | 1.82 Bn |
| 6 | Synchrony Financial | 23.18 Bn | -44.45 Bn | - | 105.92 Bn |
| 7 | Affirm Holdings | 23.17 Bn | 16.22 Bn | - | 10.73 Bn |
| 8 | Annaly Capital Management | 14.38 Bn | 5.33 Bn | - | 130.25 Bn |
| 9 | Ares Capital | 13.91 Bn | 11.66 Bn | - | 16.65 Bn |
| 10 | Manhattan Bridge Capital | 37.88 Mn | 37.02 Mn | - | 18.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.69 Mn |
| Jun 30, 2026 | 21.00 Mn |
| Mar 31, 2026 | 21.15 Mn |
| Dec 31, 2025 | 19.25 Mn |
| Sep 30, 2025 | 16.67 Mn |
| Jun 30, 2025 | 24.17 Mn |
| Mar 31, 2025 | 22.46 Mn |
| Dec 31, 2024 | 24.10 Mn |
| Sep 30, 2024 | 27.43 Mn |
| Jun 30, 2024 | 25.61 Mn |
| Mar 31, 2024 | 31.74 Mn |
| Dec 31, 2023 | 33.50 Mn |
| Sep 30, 2023 | 29.67 Mn |
| Jun 30, 2023 | 28.93 Mn |
| Mar 31, 2023 | 30.84 Mn |
| Dec 31, 2022 | 33.42 Mn |
| Sep 30, 2022 | 31.66 Mn |
| Jun 30, 2022 | 27.62 Mn |
| Mar 31, 2022 | 26.67 Mn |
| Dec 31, 2021 | 23.82 Mn |
Manhattan Bridge Capital 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=LOAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "LOAN", "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=LOAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();