Invitation Homes (INVH) Capital Expenditures (2016 - 2026)
Invitation Homes' Capital Expenditures was $62.39 million in Q2 2026, down 80.7% from $323.82 million a year earlier and down 12.8% from the prior quarter.
Invitation Homes (INVH) Capital Expenditures (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Invitation Homes' Capital Expenditures was $369.62 million through Jun 30, 2026, down 63.4% year-over-year; for FY2025, it came in at $752.89 million, up 2.0% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $737.94 million in FY2024 (-23.4%), $963.31 million in FY2023 (+70.6%), $564.71 million in FY2022 (-49.9%) and $1.13 billion in FY2021 (+81.3%).
- The Q2 2026 figure marks the lowest quarterly Capital Expenditures since Q4 2023.
- Compared with a year earlier, Capital Expenditures has declined for four straight quarters, with growth averaging 18.5% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2023 (growth of 748.3%); the worst was Q4 2022 (a decline of 85.5%).
- Per Business Quant data, INVH's Capital Expenditures in the three quarters before Q2 2026 was $71.55 million (Q1 2026), $72.08 million (Q4 2025) and $163.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 319.29 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 254.90 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 57.19 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 56.02 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 101.83 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 31.76 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 21.69 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Invitation Homes | 15.55 Bn | 15.59 Bn | - | 62.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.39 Mn |
| Mar 31, 2026 | 71.55 Mn |
| Dec 31, 2025 | 72.08 Mn |
| Sep 30, 2025 | 163.61 Mn |
| Jun 30, 2025 | 323.82 Mn |
| Mar 31, 2025 | 193.39 Mn |
| Dec 31, 2024 | 194.90 Mn |
| Sep 30, 2024 | 298.70 Mn |
| Jun 30, 2024 | 134.35 Mn |
| Mar 31, 2024 | 109.99 Mn |
| Dec 31, 2023 | 56.46 Mn |
| Sep 30, 2023 | 787.83 Mn |
| Jun 30, 2023 | 59.15 Mn |
| Mar 31, 2023 | 59.87 Mn |
| Dec 31, 2022 | 55.54 Mn |
| Sep 30, 2022 | 92.88 Mn |
| Jun 30, 2022 | 213.75 Mn |
| Mar 31, 2022 | 202.53 Mn |
| Dec 31, 2021 | 383.03 Mn |
| Sep 30, 2021 | 437.82 Mn |
Invitation Homes Capital Expenditures 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=capital-expenditures&ticker=INVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();