Invitation Homes (INVH) Weighted Average Shares Outstanding (2017 - 2026)
Invitation Homes (INVH) recorded Weighted Average Shares Outstanding of 592.41 million in Q3 2026, down 3.4% from 613.08 million a year earlier and unchanged from the prior quarter.
Invitation Homes (INVH) Weighted Average Shares Outstanding (2017 - 2026) Analysis & Trends
For FY2025, Invitation Homes reported Weighted Average Shares Outstanding of 612.95 million, up 0.1% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for eight straight years, with a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 612.55 million in FY2024 (+0.1%), 611.89 million in FY2023 (+0.3%), 609.77 million in FY2022 (+5.6%) and 577.68 million in FY2021 (+4.3%).
- Quarterly Weighted Average Shares Outstanding has ranged from 577.68 million in Q4 2021 to 613.08 million in Q3 2025 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined for three consecutive quarters, with an average decline of 0.9% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 7.5% in Q2 2022, against a decline of 3.4% in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 592.41 million (Q2 2026), 606 million (Q1 2026) and 612.95 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 181.91 Bn | 168.97 Bn | 1.47 Bn |
| 2 | Prologis | 124.85 Bn | 123.24 Bn | - |
| 3 | Simon Property | 78.40 Bn | 75.60 Bn | - |
| 4 | Public Storage | 64.04 Bn | 63.49 Bn | - |
| 5 | Realty Income | 56.32 Bn | 57.70 Bn | - |
| 6 | Ventas | 47.18 Bn | 46.34 Bn | - |
| 7 | Extra Space Storage | 33.64 Bn | 33.42 Bn | 650.96 Mn |
| 8 | Vici Properties | 27.80 Bn | 26.16 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 23.88 Bn | 23.85 Bn | - |
| 10 | Invitation Homes | 16.03 Bn | 15.67 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 588.41 Mn |
| Jun 30, 2026 | 592.41 Mn |
| Mar 31, 2026 | 606.00 Mn |
| Dec 31, 2025 | 612.95 Mn |
| Sep 30, 2025 | 613.08 Mn |
| Jun 30, 2025 | 613.05 Mn |
| Mar 31, 2025 | 612.78 Mn |
| Dec 31, 2024 | 612.55 Mn |
| Sep 30, 2024 | 612.67 Mn |
| Jun 30, 2024 | 612.63 Mn |
| Mar 31, 2024 | 612.22 Mn |
| Dec 31, 2023 | 611.89 Mn |
| Sep 30, 2023 | 612.00 Mn |
| Jun 30, 2023 | 611.95 Mn |
| Mar 31, 2023 | 611.59 Mn |
| Dec 31, 2022 | 609.77 Mn |
| Sep 30, 2022 | 610.85 Mn |
| Jun 30, 2022 | 610.33 Mn |
| Mar 31, 2022 | 606.41 Mn |
| Dec 31, 2021 | 577.68 Mn |
Invitation Homes Weighted Average Shares Outstanding 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=weighted-average-shares-outstanding&ticker=INVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "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=weighted-average-shares-outstanding&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();