Manhattan Bridge Capital, Inc (LOAN) Change in Accrued Expenses (2010 - 2026)
Manhattan Bridge Capital's Change in Accrued Expenses came in at -$19,268 for Q3 2026, compared with -$27,064 a year earlier.
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Analysis
Manhattan Bridge Capital, Inc (LOAN) Change in Accrued Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Manhattan Bridge Capital reported Change in Accrued Expenses of -$824.00; for FY2025, it was -$58,989.
- Going back by year, Change in Accrued Expenses was -$63,057 in FY2024, $5,424 in FY2023 (-96.0%), $135,699 in FY2022 and -$14,771 in FY2021.
- The five-year range for quarterly Change in Accrued Expenses is -$37,435 (Q1 2025) to $87,809 (Q4 2022).
- Business Quant data shows LOAN's Change in Accrued Expenses at -$2,893 (Q2 2026), $19,648 (Q1 2026) and $1,689 (Q4 2025) in the three quarters before Q3 2026.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -19,268.00 |
| Jun 30, 2026 | -2,893.00 |
| Mar 31, 2026 | 19,648.00 |
| Dec 31, 2025 | 1,689.00 |
| Sep 30, 2025 | -27,064.00 |
| Jun 30, 2025 | 3,821.00 |
| Mar 31, 2025 | -37,435.00 |
| Dec 31, 2024 | 20,448.00 |
| Sep 30, 2024 | -30,461.00 |
| Jun 30, 2024 | -21,444.00 |
| Mar 31, 2024 | -31,600.00 |
| Dec 31, 2023 | 59,106.00 |
| Sep 30, 2023 | 4,450.00 |
| Jun 30, 2023 | -30,089.00 |
| Mar 31, 2023 | -28,043.00 |
| Dec 31, 2022 | 87,809.00 |
| Sep 30, 2022 | 16,739.00 |
| Jun 30, 2022 | 37,109.00 |
| Mar 31, 2022 | -5,958.00 |
| Dec 31, 2021 | 78,211.00 |
API Access
Manhattan Bridge Capital, Inc Change in Accrued 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=change-in-accrued-expenses&ticker=LOAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-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=change-in-accrued-expenses&ticker=LOAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();