American Strategic Investment (NYC) Change in Accured Expenses (2014 - 2026)
American Strategic Investment's Change in Accured Expenses came in at $2.19 million for Q2 2026, down 67.9% from $6.84 million a year earlier and down 54.2% from the prior quarter.
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Analysis
American Strategic Investment (NYC) Change in Accured Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, American Strategic Investment reported Change in Accured Expenses of $15.28 million, up 119.4% year-over-year; for FY2025, it was $15.56 million, up 556.7% from FY2024.
- Going back by year, Change in Accured Expenses was $2.37 million in FY2024 (+172.0%), $871,000 in FY2023 (-77.9%), $3.94 million in FY2022 and -$111,000 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Change in Accured Expenses since Q1 2025.
- Year-over-year, Change in Accured Expenses increased in 1 of the last four quarters, with an average decline of 20.0%.
- Business Quant data shows NYC's Change in Accured Expenses at $4.78 million (Q1 2026), $3.74 million (Q4 2025) and $4.56 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 187.04 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 130.70 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 144.79 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | -25.21 Mn |
| 10 | American Strategic Investment | 20.83 Mn | 20.83 Mn | - | 2.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.19 Mn |
| Mar 31, 2026 | 4.78 Mn |
| Dec 31, 2025 | 3.74 Mn |
| Sep 30, 2025 | 4.56 Mn |
| Jun 30, 2025 | 6.84 Mn |
| Mar 31, 2025 | 419,000.00 |
| Dec 31, 2024 | -2.62 Mn |
| Sep 30, 2024 | 2.34 Mn |
| Jun 30, 2024 | 187,000.00 |
| Mar 31, 2024 | 2.47 Mn |
| Dec 31, 2023 | -1.98 Mn |
| Sep 30, 2023 | 3.09 Mn |
| Jun 30, 2023 | -1.44 Mn |
| Mar 31, 2023 | 1.19 Mn |
| Dec 31, 2022 | -4.78 Mn |
| Sep 30, 2022 | -479,000.00 |
| Jun 30, 2022 | 7.21 Mn |
| Mar 31, 2022 | 1.99 Mn |
| Dec 31, 2021 | 391,000.00 |
| Sep 30, 2021 | -146,000.00 |
API Access
American Strategic Investment 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=NYC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "NYC", "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=NYC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();