InPoint Commercial Real Estate Income (ICR-PA) Change in Accured Expenses (2017 - 2026)
InPoint Commercial Real Estate Income (ICR-PA) reported Change in Accured Expenses of $319,000 for Q2 2026, down 43.4% from $564,000 a year earlier but up 4.2% from the prior quarter.
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Analysis
InPoint Commercial Real Estate Income (ICR-PA) Change in Accured Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, InPoint Commercial Real Estate Income's Change in Accured Expenses came in at $1.64 million, up 38.7% year-over-year; for FY2025, it came in at $933,000, down 44.8% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $1.69 million in FY2024, -$7.38 million in FY2023, $3.27 million in FY2022 (+232.4%) and $985,000 in FY2021 (+102.3%).
- Five-year quarterly Change in Accured Expenses spans a low of -$3.45 million in Q3 2023 and a high of $3.27 million in Q3 2021.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with an average decline of 22.8%.
- The high point for year-over-year Change in Accured Expenses in five years was Q1 2022 (growth of 145.4%); the low point was Q4 2025 (a decline of 86.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $306,000 (Q1 2026), $67,000 (Q4 2025) and $950,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.94 Bn | 29.62 Bn | - | - |
| 2 | Orix | 41.70 Bn | 42.20 Bn | - | - |
| 3 | Royalty Pharma | 32.87 Bn | 32.78 Bn | - | - |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - | - |
| 5 | Affirm Holdings | 23.86 Bn | 17.55 Bn | - | -22.78 Mn |
| 6 | Synchrony Financial | 23.33 Bn | -44.64 Bn | - | 190.00 Mn |
| 7 | Royal Gold | 19.87 Bn | 19.09 Bn | 390.45 Mn | - |
| 8 | Annaly Capital Management | 13.89 Bn | 4.98 Bn | - | 88.31 Mn |
| 9 | Ares Capital | 13.54 Bn | 10.98 Bn | - | 4.00 Mn |
| 10 | InPoint Commercial Real Estate Income | 184.53 Mn | -107.27 Mn | - | 319,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 319,000.00 |
| Mar 31, 2026 | 306,000.00 |
| Dec 31, 2025 | 67,000.00 |
| Sep 30, 2025 | 950,000.00 |
| Jun 30, 2025 | 564,000.00 |
| Mar 31, 2025 | -648,000.00 |
| Dec 31, 2024 | 508,000.00 |
| Sep 30, 2024 | 760,000.00 |
| Jun 30, 2024 | 495,000.00 |
| Mar 31, 2024 | -72,000.00 |
| Dec 31, 2023 | -872,000.00 |
| Sep 30, 2023 | -3.45 Mn |
| Jun 30, 2023 | 312,000.00 |
| Mar 31, 2023 | -3.37 Mn |
| Dec 31, 2022 | 253,000.00 |
| Sep 30, 2022 | 1.10 Mn |
| Jun 30, 2022 | 897,000.00 |
| Mar 31, 2022 | 1.02 Mn |
| Dec 31, 2021 | -2.50 Mn |
| Sep 30, 2021 | 3.27 Mn |
API Access
InPoint Commercial Real Estate Income Change in Accured 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-accured-expenses&ticker=ICR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "ICR-PA", "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-accured-expenses&ticker=ICR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();