ACRES Commercial Realty (ACR) Operating Expenses (2011 - 2025)
ACRES Commercial Realty (ACR) recorded Operating Expenses of $15.96 million in Q3 2025, down 6.9% from $17.14 million a year earlier and down 8.9% from the prior quarter.
ACRES Commercial Realty (ACR) Operating Expenses (2011 - 2025) Analysis & Trends
On a TTM basis, ACRES Commercial Realty's Operating Expenses came in at $69.8 million as of Sep 30, 2025, up 1.3% year-over-year; for FY2024, it came in at $71.89 million, up 2.0% from FY2023.
- Annual Operating Expenses has increased for three straight years, with a five-year compound annual growth rate of 27.1% (FY2019 to FY2024).
- Across earlier years, Operating Expenses came in at $70.46 million in FY2023 (+4.5%), $67.41 million in FY2022 (+662.0%), $8.85 million in FY2021 (-83.8%) and $54.69 million in FY2020 (+152.4%).
- The Q3 2025 figure is the lowest quarterly Operating Expenses since Q2 2024.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with an average decline of 4.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 630.3% in Q4 2022, against a decline of 96.7% in Q1 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.51 million (Q2 2025), $17.25 million (Q1 2025) and $19.08 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 40.96 Bn | 29.78 Bn | - | 2.33 Bn |
| 2 | Orix | 36.82 Bn | 3.63 Bn | - | - |
| 3 | Royalty Pharma | 30.51 Bn | 27.88 Bn | - | 279.27 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.64 Bn | 26.64 Bn | - | 2.12 Bn |
| 5 | Royal Gold | 23.60 Bn | 22.77 Bn | 390.45 Mn | 173.18 Mn |
| 6 | Synchrony Financial | 23.18 Bn | -44.45 Bn | - | 1.37 Bn |
| 7 | Affirm Holdings | 23.17 Bn | 16.22 Bn | - | 1.08 Bn |
| 8 | Annaly Capital Management | 14.38 Bn | 5.33 Bn | - | 53.21 Mn |
| 9 | Ares Capital | 13.91 Bn | 11.66 Bn | - | 429.00 Mn |
| 10 | ACRES Commercial Realty | 82.29 Mn | -151.18 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 15.96 Mn |
| Jun 30, 2025 | 17.51 Mn |
| Mar 31, 2025 | 17.25 Mn |
| Dec 31, 2024 | 19.08 Mn |
| Sep 30, 2024 | 17.14 Mn |
| Jun 30, 2024 | 15.88 Mn |
| Mar 31, 2024 | 19.79 Mn |
| Dec 31, 2023 | 16.11 Mn |
| Sep 30, 2023 | 16.55 Mn |
| Jun 30, 2023 | 18.17 Mn |
| Mar 31, 2023 | 19.63 Mn |
| Dec 31, 2022 | 26.34 Mn |
| Sep 30, 2022 | 17.45 Mn |
| Jun 30, 2022 | 14.72 Mn |
| Mar 31, 2022 | 8.90 Mn |
| Dec 31, 2021 | 3.61 Mn |
| Sep 30, 2021 | 8.09 Mn |
| Jun 30, 2021 | -3.58 Mn |
| Mar 31, 2021 | 732,000.00 |
| Dec 31, 2020 | -14.19 Mn |
ACRES Commercial Realty 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=ACR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ACR", "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=ACR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();