Ltc Properties (LTC) Acquisitions (2011 - 2026)
Ltc Properties (LTC) posted Acquisitions of $76,000 for Q1 2026.
Analysis
Ltc Properties (LTC) Acquisitions (2011 - 2026) Analysis & Trends
For FY2025, Ltc Properties' Acquisitions came in at $1.12 million.
- In prior years, Ltc Properties' Acquisitions was $51.11 million in FY2023.
- The Q1 2026 figure stands as the highest quarterly Acquisitions since Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | - |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 16.22 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.90 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 222.45 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 1.48 Bn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 158.83 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Ltc Properties | 2.32 Bn | 2.40 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 76,000.00 |
| Mar 31, 2023 | 51.11 Mn |
| Mar 31, 2019 | 15.97 Mn |
| Sep 30, 2018 | 14.51 Mn |
| Dec 31, 2017 | 27.60 Mn |
| Sep 30, 2017 | 64,000.00 |
| Dec 31, 2016 | 1.47 Mn |
| Sep 30, 2016 | 5.55 Mn |
| Jun 30, 2016 | 51.90 Mn |
| Mar 31, 2016 | 16.00 Mn |
| Dec 31, 2015 | 35.16 Mn |
| Sep 30, 2015 | 156.83 Mn |
| Jun 30, 2015 | 1.33 Mn |
| Mar 31, 2015 | 13.03 Mn |
| Dec 31, 2014 | 11.20 Mn |
| Dec 31, 2013 | 16.99 Mn |
| Dec 31, 2012 | 85.77 Mn |
| Sep 30, 2012 | 60.50 Mn |
| Jun 30, 2012 | 1.88 Mn |
| Mar 31, 2012 | 18.60 Mn |
API Access
Ltc Properties Acquisitions 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=acquisitions&ticker=LTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=LTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();