Manhattan Bridge Capital (LOAN) Operating Expenses (2010 - 2026)
Manhattan Bridge Capital (LOAN) posted Operating Expenses of $895,756 for Q2 2026, down 5.3% from $945,558 a year earlier but up 12.3% from the prior quarter.
Manhattan Bridge Capital (LOAN) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Manhattan Bridge Capital was $3.42 million, down 10.7% year-over-year; for FY2025, it was $3.57 million, down 13.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In prior years, Manhattan Bridge Capital's Operating Expenses was $4.12 million in FY2024 (-5.5%), $4.35 million in FY2023 (+28.9%), $3.38 million in FY2022 (+40.6%) and $2.4 million in FY2021 (-14.1%).
- Quarterly Operating Expenses has run from a low of $522,267 in Q3 2021 to a high of $1.22 million in Q4 2023 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last eight quarters, with an average decline of 11.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2022, with growth of 75.9%; the weakest was Q4 2021, with a decline of 26.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $797,820 (Q1 2026), $883,410 (Q4 2025) and $838,073 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - | 2.50 Bn |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - | 4.66 Bn |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - | 2.07 Bn |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - | 1.33 Bn |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - | - |
| 10 | Manhattan Bridge Capital | 42.62 Mn | 41.73 Mn | - | 895,756.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 895,756.00 |
| Mar 31, 2026 | 797,820.00 |
| Dec 31, 2025 | 883,410.00 |
| Sep 30, 2025 | 838,073.00 |
| Jun 30, 2025 | 945,558.00 |
| Mar 31, 2025 | 905,079.00 |
| Dec 31, 2024 | 1.06 Mn |
| Sep 30, 2024 | 918,547.00 |
| Jun 30, 2024 | 1.04 Mn |
| Mar 31, 2024 | 1.10 Mn |
| Dec 31, 2023 | 1.22 Mn |
| Sep 30, 2023 | 991,942.00 |
| Jun 30, 2023 | 997,406.00 |
| Mar 31, 2023 | 1.14 Mn |
| Dec 31, 2022 | 1.04 Mn |
| Sep 30, 2022 | 874,779.00 |
| Jun 30, 2022 | 764,579.00 |
| Mar 31, 2022 | 694,703.00 |
| Dec 31, 2021 | 592,573.00 |
| Sep 30, 2021 | 522,267.00 |
Manhattan Bridge Capital Operating Expenses 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=operating-expenses&ticker=LOAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LOAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();