Kimco Realty (KIM) Weighted Average Shares Outstanding (2009 - 2026)
Kimco Realty's Weighted Average Shares Outstanding was 666.46 million in Q3 2026, down 1.2% from 674.64 million a year earlier and down 0.7% from the prior quarter.
Kimco Realty (KIM) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Kimco Realty came in at 675.05 million, up 0.5% from FY2024.
- Weighted Average Shares Outstanding has now increased for six consecutive years, with a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 671.56 million in FY2024 (+8.9%), 616.95 million in FY2023 (+0.2%), 615.53 million in FY2022 (+21.6%) and 506.25 million in FY2021 (+17.7%).
- The Q3 2026 figure marks the lowest quarterly Weighted Average Shares Outstanding since Q4 2023.
- Compared with a year earlier, Weighted Average Shares Outstanding has declined for three straight quarters, with growth averaging 1.1% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was Q2 2022 (growth of 42.8%); the worst was Q3 2026 (a decline of 1.2%).
- Per Business Quant data, KIM's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 671.22 million (Q2 2026), 671.83 million (Q1 2026) and 675.05 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.50 Bn | 165.52 Bn | 1.47 Bn |
| 2 | Prologis | 123.38 Bn | 117.33 Bn | - |
| 3 | Simon Property | 74.01 Bn | 70.07 Bn | - |
| 4 | Public Storage | 62.95 Bn | 61.68 Bn | - |
| 5 | Realty Income | 55.94 Bn | 54.21 Bn | - |
| 6 | Ventas | 45.93 Bn | 44.61 Bn | - |
| 7 | Extra Space Storage | 34.06 Bn | 32.98 Bn | 650.96 Mn |
| 8 | Vici Properties | 27.80 Bn | 26.15 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 23.98 Bn | 23.76 Bn | - |
| 10 | Kimco Realty | 17.28 Bn | 15.65 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 666.46 Mn |
| Jun 30, 2026 | 671.22 Mn |
| Mar 31, 2026 | 671.83 Mn |
| Dec 31, 2025 | 675.05 Mn |
| Sep 30, 2025 | 674.64 Mn |
| Jun 30, 2025 | 674.61 Mn |
| Mar 31, 2025 | 677.07 Mn |
| Dec 31, 2024 | 671.56 Mn |
| Sep 30, 2024 | 671.23 Mn |
| Jun 30, 2024 | 671.20 Mn |
| Mar 31, 2024 | 670.12 Mn |
| Dec 31, 2023 | 616.95 Mn |
| Sep 30, 2023 | 617.09 Mn |
| Jun 30, 2023 | 617.08 Mn |
| Mar 31, 2023 | 616.49 Mn |
| Dec 31, 2022 | 615.53 Mn |
| Sep 30, 2022 | 615.83 Mn |
| Jun 30, 2022 | 615.64 Mn |
| Mar 31, 2022 | 614.77 Mn |
| Dec 31, 2021 | 506.25 Mn |
Kimco Realty 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=KIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "ticker": "KIM", "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=KIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();