Ltc Properties (LTC) Shares Outstanding (2010 - 2026)
Ltc Properties (LTC) reported Shares Outstanding of 51.87 million for Q2 2026, up 13.5% from 45.71 million a year earlier and up 6.9% from the prior quarter.
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Analysis
Ltc Properties (LTC) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Ltc Properties posted Shares Outstanding of 46.23 million, up 5.7% from FY2024.
- Shares Outstanding has increased for four consecutive years, with a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 43.74 million in FY2024 (+6.0%), 41.27 million in FY2023 (+3.5%), 39.89 million in FY2022 (+1.9%) and 39.16 million in FY2021 (-0.1%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding in data going back to Q2 2010.
- Year over year, Shares Outstanding has now increased in each of the last 18 quarters, with growth averaging 6.9% over the last eight quarters.
- The high point for year-over-year Shares Outstanding in five years was Q2 2026 (growth of 13.5%); the low point was Q4 2021 (a decline of 0.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 48.54 million (Q1 2026), 46.23 million (Q4 2025) and 46.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 709.73 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 933.09 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 326.37 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 932.31 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 175.56 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 489.29 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 210.96 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 | - | 374.18 Mn |
| 10 | Ltc Properties | 2.31 Bn | 2.38 Bn | - | 51.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.87 Mn |
| Mar 31, 2026 | 48.54 Mn |
| Dec 31, 2025 | 46.23 Mn |
| Sep 30, 2025 | 46.12 Mn |
| Jun 30, 2025 | 45.71 Mn |
| Mar 31, 2025 | 45.33 Mn |
| Dec 31, 2024 | 43.74 Mn |
| Sep 30, 2024 | 43.87 Mn |
| Jun 30, 2024 | 43.17 Mn |
| Mar 31, 2024 | 42.89 Mn |
| Dec 31, 2023 | 41.27 Mn |
| Sep 30, 2023 | 41.15 Mn |
| Jun 30, 2023 | 41.15 Mn |
| Mar 31, 2023 | 41.08 Mn |
| Dec 31, 2022 | 39.89 Mn |
| Sep 30, 2022 | 40.27 Mn |
| Jun 30, 2022 | 39.49 Mn |
| Mar 31, 2022 | 39.20 Mn |
| Dec 31, 2021 | 39.16 Mn |
| Sep 30, 2021 | 39.18 Mn |
API Access
Ltc Properties 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=shares-outstanding&ticker=LTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=LTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();