Invitation Homes (INVH) Other Operating Expenses (2016 - 2026)
Invitation Homes (INVH) posted Other Operating Expenses of $177.2 million for Q2 2026, up 40.4% from $126.24 million a year earlier but down 0.3% from the prior quarter.
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Analysis
Invitation Homes (INVH) Other Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Invitation Homes was $616.24 million, up 6.3% year-over-year; for FY2025, it was $513.24 million, down 12.4% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- In prior years, Invitation Homes' Other Operating Expenses was $585.98 million in FY2024 (+34.0%), $437.44 million in FY2023 (+4.0%), $420.42 million in FY2022 (+4.5%) and $402.28 million in FY2021 (-1.6%).
- Quarterly Other Operating Expenses has run from a low of $96.77 million in Q1 2022 to a high of $181.78 million in Q4 2024 over five years.
- On a year-over-year basis, Other Operating Expenses increased in five of the last eight quarters, with growth averaging 15.2%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q4 2024, with growth of 53.7%; the weakest was Q4 2025, with a decline of 28.2%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $177.65 million (Q1 2026), $130.45 million (Q4 2025) and $130.94 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 170.14 Bn | 156.17 Bn | 1.47 Bn |
| 2 | Prologis | 120.69 Bn | 114.64 Bn | - |
| 3 | Simon Property | 70.61 Bn | 66.46 Bn | - |
| 4 | Public Storage | 59.72 Bn | 58.45 Bn | - |
| 5 | Realty Income | 52.99 Bn | 51.21 Bn | - |
| 6 | Ventas | 43.55 Bn | 42.22 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 | - |
| 10 | Invitation Homes | 15.60 Bn | 15.20 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 169.19 Mn |
| Jun 30, 2026 | 177.20 Mn |
| Mar 31, 2026 | 177.65 Mn |
| Dec 31, 2025 | 130.45 Mn |
| Sep 30, 2025 | 130.94 Mn |
| Jun 30, 2025 | 126.24 Mn |
| Mar 31, 2025 | 125.61 Mn |
| Dec 31, 2024 | 181.78 Mn |
| Sep 30, 2024 | 146.04 Mn |
| Jun 30, 2024 | 132.99 Mn |
| Mar 31, 2024 | 125.16 Mn |
| Dec 31, 2023 | 118.28 Mn |
| Sep 30, 2023 | 112.55 Mn |
| Jun 30, 2023 | 103.99 Mn |
| Mar 31, 2023 | 102.62 Mn |
| Dec 31, 2022 | 106.93 Mn |
| Sep 30, 2022 | 118.74 Mn |
| Jun 30, 2022 | 97.97 Mn |
| Mar 31, 2022 | 96.77 Mn |
| Dec 31, 2021 | 102.34 Mn |
API Access
Invitation Homes Other 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=other-operating-expenses&ticker=INVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();