Invitation Homes (INVH) Property Operating Expenses (2016 - 2026)
Invitation Homes' Property Operating Expenses came in at $264.2 million for Q3 2026, up 2.0% from $259.04 million a year earlier and up 3.3% from the prior quarter.
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Analysis
Invitation Homes (INVH) Property Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Invitation Homes reported Property Operating Expenses of $1.02 billion, up 4.8% year-over-year; for FY2025, it came in at $985.59 million, up 5.4% from FY2024.
- Property Operating Expenses has increased in each of the last ten years, with a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Going back by year, Property Operating Expenses was $935.27 million in FY2024 (+6.2%), $880.34 million in FY2023 (+12.0%), $786.35 million in FY2022 (+11.4%) and $706.16 million in FY2021 (+3.8%).
- The Q3 2026 figure represents the highest quarterly Property Operating Expenses in data going back to Q1 2016.
- Year-over-year, Property Operating Expenses has increased for seven consecutive quarters, with growth averaging 4.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Property Operating Expenses ran from 0.0% in Q4 2024 to 17.8% in Q4 2022.
- Business Quant data shows INVH's Property Operating Expenses at $255.71 million (Q2 2026), $251.13 million (Q1 2026) and $244.82 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 170.14 Bn | 156.17 Bn | 1.47 Bn | - |
| 2 | Prologis | 120.69 Bn | 114.64 Bn | - | 511.72 Mn |
| 3 | Simon Property | 70.61 Bn | 66.46 Bn | - | 170.76 Mn |
| 4 | Public Storage | 59.72 Bn | 58.45 Bn | - | 333.19 Mn |
| 5 | Realty Income | 52.99 Bn | 51.21 Bn | - | 112.44 Mn |
| 6 | Ventas | 43.55 Bn | 42.22 Bn | - | 1.10 Bn |
| 7 | Extra Space Storage | 31.90 Bn | 31.90 Bn | - | - |
| 8 | Vici Properties | 26.83 Bn | 25.18 Bn | 1.06 Bn | - |
| 9 | Vivmark Residential | 23.14 Bn | 22.92 Bn | - | 142.75 Mn |
| 10 | Invitation Homes | 15.60 Bn | 15.20 Bn | - | 264.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 264.20 Mn |
| Jun 30, 2026 | 255.71 Mn |
| Mar 31, 2026 | 251.13 Mn |
| Dec 31, 2025 | 244.82 Mn |
| Sep 30, 2025 | 259.04 Mn |
| Jun 30, 2025 | 244.28 Mn |
| Mar 31, 2025 | 237.45 Mn |
| Dec 31, 2024 | 228.46 Mn |
| Sep 30, 2024 | 242.23 Mn |
| Jun 30, 2024 | 234.18 Mn |
| Mar 31, 2024 | 230.40 Mn |
| Dec 31, 2023 | 228.54 Mn |
| Sep 30, 2023 | 229.49 Mn |
| Jun 30, 2023 | 213.81 Mn |
| Mar 31, 2023 | 208.50 Mn |
| Dec 31, 2022 | 209.62 Mn |
| Sep 30, 2022 | 203.79 Mn |
| Jun 30, 2022 | 190.68 Mn |
| Mar 31, 2022 | 182.27 Mn |
| Dec 31, 2021 | 177.88 Mn |
API Access
Invitation Homes 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=INVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "ticker": "INVH", "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=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();