Apartment Investment & Management (AIV) Property Operating Expenses (2009 - 2025)
Apartment Investment & Management (AIV) recorded Property Operating Expenses of $17.16 million in Q4 2025, down 7.1% from $18.47 million a year earlier but up 1.6% from the prior quarter.
Apartment Investment & Management (AIV) Property Operating Expenses (2009 - 2025) Analysis & Trends
For FY2025, Apartment Investment & Management reported Property Operating Expenses of $68.36 million, up 0.4% from FY2024.
- Annual Property Operating Expenses has a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- Across earlier years, Property Operating Expenses came in at $68.08 million in FY2024 (+31.8%), $51.66 million in FY2023 (-28.0%), $71.79 million in FY2022 (+6.2%) and $67.61 million in FY2021 (+9.9%).
- Quarterly Property Operating Expenses has ranged from -$2.99 million in Q4 2023 to $22.56 million in Q2 2024 over the past five years.
- On a year-over-year basis, Property Operating Expenses has declined for four consecutive quarters, with an average decline of 7.9% over the last seven quarters.
- Peak year-over-year performance for Property Operating Expenses in the last five years was growth of 21.1% in Q1 2024, against a decline of 43.5% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.89 million (Q3 2025), $12.75 million (Q2 2025) and $13.14 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn | - |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - | 511.72 Mn |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - | 171.44 Mn |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - | 333.19 Mn |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - | 122.39 Mn |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - | 1.10 Bn |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn | - |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn | - |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - | 142.75 Mn |
| 10 | Apartment Investment & Management | 211.37 Mn | -890.96 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 17.16 Mn |
| Sep 30, 2025 | 16.89 Mn |
| Jun 30, 2025 | 12.75 Mn |
| Mar 31, 2025 | 13.14 Mn |
| Dec 31, 2024 | 18.47 Mn |
| Sep 30, 2024 | 17.66 Mn |
| Jun 30, 2024 | 22.56 Mn |
| Mar 31, 2024 | 21.20 Mn |
| Dec 31, 2023 | -2.99 Mn |
| Sep 30, 2023 | 18.33 Mn |
| Jun 30, 2023 | 18.78 Mn |
| Mar 31, 2023 | 17.50 Mn |
| Dec 31, 2022 | 15.41 Mn |
| Sep 30, 2022 | 17.46 Mn |
| Jun 30, 2022 | 19.71 Mn |
| Mar 31, 2022 | 19.22 Mn |
| Dec 31, 2021 | 16.11 Mn |
| Sep 30, 2021 | 18.16 Mn |
| Jun 30, 2021 | 16.40 Mn |
| Mar 31, 2021 | 16.94 Mn |
Apartment Investment & Management Property 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=property-operating-expenses&ticker=AIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "ticker": "AIV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-operating-expenses&ticker=AIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();