Apartment Investment & Management (AIV) Operating Expenses (2009 - 2025)
Apartment Investment & Management's Operating Expenses was $131.13 million in Q4 2025, up 181.1% from $46.65 million a year earlier and up 33.8% from the prior quarter.
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Analysis
Apartment Investment & Management (AIV) Operating Expenses (2009 - 2025) Analysis & Trends
For FY2025, Operating Expenses at Apartment Investment & Management came in at $308.12 million, up 73.1% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $178.05 million in FY2024 (+24.8%), $142.64 million in FY2023 (-47.3%), $270.43 million in FY2022 (+45.8%) and $185.48 million in FY2021 (+11.9%).
- The Q4 2025 figure marks the highest quarterly Operating Expenses since Q4 2014.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 67.3%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2024 (growth of 276.3%); the worst was Q4 2023 (a decline of 70.0%).
- Per Business Quant data, AIV's Operating Expenses in the three quarters before Q4 2025 was $98.01 million (Q3 2025), $32.48 million (Q2 2025) and $33.37 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.47 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 900.79 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 766.20 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 566.18 Mn |
| 10 | Apartment Investment & Management | 285.17 Mn | -817.16 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 131.13 Mn |
| Sep 30, 2025 | 98.01 Mn |
| Jun 30, 2025 | 32.48 Mn |
| Mar 31, 2025 | 33.37 Mn |
| Dec 31, 2024 | 46.65 Mn |
| Sep 30, 2024 | 46.78 Mn |
| Jun 30, 2024 | 52.24 Mn |
| Mar 31, 2024 | 49.22 Mn |
| Dec 31, 2023 | 12.40 Mn |
| Sep 30, 2023 | 44.33 Mn |
| Jun 30, 2023 | 43.70 Mn |
| Mar 31, 2023 | 42.18 Mn |
| Dec 31, 2022 | 41.39 Mn |
| Sep 30, 2022 | 113.70 Mn |
| Jun 30, 2022 | 63.53 Mn |
| Mar 31, 2022 | 51.81 Mn |
| Dec 31, 2021 | 48.35 Mn |
| Sep 30, 2021 | 48.73 Mn |
| Jun 30, 2021 | 44.43 Mn |
| Mar 31, 2021 | 43.97 Mn |
API Access
Apartment Investment & Management 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=AIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=AIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();