Generation Income Properties (GIPR) Weighted Average Shares Outstanding (Diluted) (2020 - 2026)
Generation Income Properties (GIPR) reported Weighted Average Shares Outstanding (Diluted) of 1.41 million for Q2 2026, up 159.4% from 544,319 a year earlier and up 107.2% from the prior quarter.
Generation Income Properties (GIPR) Weighted Average Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Generation Income Properties posted Weighted Average Shares Outstanding (Diluted) of 516,588, unchanged from FY2024.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 57.5% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 516,396 in FY2024 (+104.9%), 252,044 in FY2023 (+9.0%), 231,311 in FY2022 (-27.8%) and 320,280 in FY2021 (+501.7%).
- The Q2 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q3 2020.
- Year over year, Weighted Average Shares Outstanding (Diluted) gained in seven of the last eight quarters, with growth averaging 52.7%.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 501.7%); the low point was Q1 2023 (a decline of 61.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 681,433 (Q1 2026), 516,588 (Q4 2025) and 544,354 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Generation Income Properties | 310,619.54 | 15.57 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.41 Mn |
| Mar 31, 2026 | 681,433.00 |
| Dec 31, 2025 | 516,588.00 |
| Sep 30, 2025 | 544,354.00 |
| Jun 30, 2025 | 544,319.00 |
| Mar 31, 2025 | 544,319.00 |
| Dec 31, 2024 | 516,396.00 |
| Sep 30, 2024 | 543,383.00 |
| Jun 30, 2024 | 543,383.00 |
| Mar 31, 2024 | 439,049.00 |
| Dec 31, 2023 | 252,044.00 |
| Sep 30, 2023 | 261,808.00 |
| Jun 30, 2023 | 261,547.00 |
| Mar 31, 2023 | 254,148.00 |
| Dec 31, 2022 | 231,311.00 |
| Sep 30, 2022 | 230,484.00 |
| Jun 30, 2022 | 225,544.00 |
| Mar 31, 2022 | 658,817.00 |
| Dec 31, 2021 | 320,280.00 |
| Sep 30, 2021 | 281,868.00 |
Generation Income Properties Weighted Average Shares Outstanding (Diluted) 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-diluted&ticker=GIPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding-diluted", "ticker": "GIPR", "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-diluted&ticker=GIPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();