National Healthcare (NHC) Buildings (2011 - 2024)
National Healthcare's Buildings came in at $835.85 million for Q4 2024, up 19.4% from $700.04 million a year earlier.
Analysis
National Healthcare (NHC) Buildings (2011 - 2024) Analysis & Trends
Going back to Q4 2011, National Healthcare's Buildings data covers 14 quarters.
- Buildings has increased in each of the last four years, with a five-year compound annual growth rate of 5.3% (FY2019 to FY2024).
- Going back by year, Buildings was $700.04 million in FY2023 (+1.7%), $688.43 million in FY2022 (+5.2%), $654.66 million in FY2021 (+2.1%) and $641.37 million in FY2020 (-0.4%).
- The Q4 2024 figure represents the highest quarterly Buildings in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn |
| 10 | National Healthcare | 3.55 Bn | 2.53 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 835.85 Mn |
| Dec 31, 2023 | 700.04 Mn |
| Dec 31, 2022 | 688.43 Mn |
| Dec 31, 2021 | 654.66 Mn |
| Dec 31, 2020 | 641.37 Mn |
| Dec 31, 2019 | 644.24 Mn |
| Dec 31, 2018 | 611.52 Mn |
| Dec 31, 2017 | 603.29 Mn |
| Dec 31, 2016 | 552.40 Mn |
| Dec 31, 2015 | 507.63 Mn |
| Dec 31, 2014 | 487.02 Mn |
| Dec 31, 2013 | 427.47 Mn |
| Dec 31, 2012 | 396.23 Mn |
| Dec 31, 2011 | 390.97 Mn |
API Access
National Healthcare Buildings 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=buildings&ticker=NHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "NHC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=NHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();