Invitation Homes (INVH) Net Equity Issued and Repurchased (2017 - 2026)
Invitation Homes' Net Equity Issued and Repurchased came in at -$100.07 million for Q2 2026.
Invitation Homes (INVH) Net Equity Issued and Repurchased (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Invitation Homes reported Net Equity Issued and Repurchased of -$547.28 million; for FY2025, it came in at -$53.21 million.
- Going back by year, Net Equity Issued and Repurchased was $98.37 million in FY2022 (-89.5%) and $933.79 million in FY2021 (+36.0%).
- The Q2 2026 figure represents the highest quarterly Net Equity Issued and Repurchased since Q2 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 180.13 Bn | 167.20 Bn | 1.47 Bn | 3.05 Bn |
| 2 | Prologis | 122.20 Bn | 120.59 Bn | - | - |
| 3 | Simon Property | 77.72 Bn | 74.92 Bn | - | -160.65 Mn |
| 4 | Public Storage | 63.62 Bn | 63.07 Bn | - | 794,000.00 |
| 5 | Realty Income | 56.53 Bn | 57.91 Bn | - | 274.50 Mn |
| 6 | Ventas | 47.09 Bn | 46.25 Bn | - | 1.35 Bn |
| 7 | Extra Space Storage | 33.46 Bn | 33.24 Bn | 650.96 Mn | -327.18 Mn |
| 8 | Vici Properties | 27.75 Bn | 26.10 Bn | 1.06 Bn | - |
| 9 | Vivmark Residential | 24.46 Bn | 24.43 Bn | - | 6.94 Mn |
| 10 | Invitation Homes | 16.03 Bn | 15.67 Bn | - | -250.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -250.35 Mn |
| Jun 30, 2026 | -100.07 Mn |
| Mar 31, 2026 | -447.21 Mn |
| Dec 31, 2025 | -53.21 Mn |
| Jun 30, 2022 | 14.41 Mn |
| Mar 31, 2022 | 83.96 Mn |
| Dec 31, 2021 | 240.35 Mn |
| Sep 30, 2021 | 693.45 Mn |
| Dec 31, 2020 | 182.93 Mn |
| Jun 30, 2020 | 447.88 Mn |
| Mar 31, 2020 | 55.92 Mn |
| Dec 31, 2019 | 37.53 Mn |
| Sep 30, 2019 | 17.74 Mn |
| Mar 31, 2017 | 1.69 Bn |
Invitation Homes Net Equity Issued and Repurchased 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=net-equity-issued-and-repurchased&ticker=INVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "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=net-equity-issued-and-repurchased&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();