Ltc Properties (LTC) Shares Outstanding (Diluted) (2010 - 2026)
Ltc Properties (LTC) reported Shares Outstanding (Diluted) of 52.2 million for Q2 2026, up 13.4% from 46.03 million a year earlier and up 6.6% from the prior quarter.
Ltc Properties (LTC) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Ltc Properties posted Shares Outstanding (Diluted) of 46.56 million, up 5.2% from FY2024.
- Shares Outstanding (Diluted) has increased for four consecutive years, with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 44.24 million in FY2024 (+7.0%), 41.36 million in FY2023 (+3.2%), 40.07 million in FY2022 (+2.3%) and 39.16 million in FY2021 (-0.3%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2010.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 18 quarters, with growth averaging 7.1% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q2 2026 (growth of 13.4%); the low point was Q4 2021 (a decline of 0.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 48.97 million (Q1 2026), 46.56 million (Q4 2025) and 46.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 737.96 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 957.88 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 326.37 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 934.66 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 176.51 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 497.72 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 220.36 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 1.09 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 383.88 Mn |
| 10 | Ltc Properties | 2.31 Bn | 2.38 Bn | - | 52.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.20 Mn |
| Mar 31, 2026 | 48.97 Mn |
| Dec 31, 2025 | 46.56 Mn |
| Sep 30, 2025 | 46.12 Mn |
| Jun 30, 2025 | 46.03 Mn |
| Mar 31, 2025 | 45.68 Mn |
| Dec 31, 2024 | 44.24 Mn |
| Sep 30, 2024 | 44.39 Mn |
| Jun 30, 2024 | 43.46 Mn |
| Mar 31, 2024 | 43.03 Mn |
| Dec 31, 2023 | 41.36 Mn |
| Sep 30, 2023 | 41.21 Mn |
| Jun 30, 2023 | 41.23 Mn |
| Mar 31, 2023 | 41.19 Mn |
| Dec 31, 2022 | 40.07 Mn |
| Sep 30, 2022 | 40.55 Mn |
| Jun 30, 2022 | 39.67 Mn |
| Mar 31, 2022 | 39.35 Mn |
| Dec 31, 2021 | 39.16 Mn |
| Sep 30, 2021 | 39.18 Mn |
Ltc Properties 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=shares-outstanding-diluted&ticker=LTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "LTC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=LTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();