Apartment Investment & Management Co (AIV) Total Operating Expenses (2009 - 2025)
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Analysis
Apartment Investment & Management Co (AIV) Total Operating Expenses (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
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 Co Total 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=total-operating-expenses&ticker=AIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-operating-expenses&ticker=AIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();