Healthcare Realty Trust (HR) Long-Term Investments (2017 - 2024)
Healthcare Realty Trust (HR) posted Long-Term Investments of $417.08 million for Q3 2024, up 28.2% from $325.45 million a year earlier and up 11.3% from the prior quarter.
Healthcare Realty Trust (HR) Long-Term Investments (2017 - 2024) Analysis & Trends
At the end of FY2023, Healthcare Realty Trust's Long-Term Investments came in at $311.51 million, down 4.8% from FY2022.
- Annual Long-Term Investments shows a five-year compound annual growth rate of 35.9% (FY2018 to FY2023).
- In prior years, Healthcare Realty Trust's Long-Term Investments was $327.25 million in FY2022 (+102.1%), $161.94 million in FY2021 (+151.5%), $64.4 million in FY2020 (-2.3%) and $65.9 million in FY2019 (-1.9%).
- The Q3 2024 figure stands as the highest quarterly Long-Term Investments in data going back to Q2 2017.
- On a year-over-year basis, Long-Term Investments increased in five of the last eight quarters, with growth averaging 76.7%.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q1 2023, with growth of 424.4%; the weakest was Q1 2024, with a decline of 5.5%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $374.84 million (Q2 2024), $309.75 million (Q1 2024) and $311.51 million (Q4 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 2.00 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 5.87 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 364.79 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 323.34 Mn |
| 10 | Healthcare Realty Trust | 6.08 Bn | 6.14 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 417.08 Mn |
| Jun 30, 2024 | 374.84 Mn |
| Mar 31, 2024 | 309.75 Mn |
| Dec 31, 2023 | 311.51 Mn |
| Sep 30, 2023 | 325.45 Mn |
| Jun 30, 2023 | 327.25 Mn |
| Mar 31, 2023 | 327.75 Mn |
| Dec 31, 2022 | 327.25 Mn |
| Sep 30, 2022 | 327.75 Mn |
| Jun 30, 2022 | 210.78 Mn |
| Mar 31, 2022 | 62.50 Mn |
| Dec 31, 2021 | 161.94 Mn |
| Sep 30, 2021 | 63.21 Mn |
| Jun 30, 2021 | 63.60 Mn |
| Mar 31, 2021 | 64.00 Mn |
| Dec 31, 2020 | 64.40 Mn |
| Sep 30, 2020 | 64.80 Mn |
| Mar 31, 2020 | 65.53 Mn |
| Dec 31, 2019 | 65.90 Mn |
| Sep 30, 2019 | 66.35 Mn |
Healthcare Realty Trust Long-Term Investments 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=long-term-investments&ticker=HR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "HR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-investments&ticker=HR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();