National Healthcare (NHC) Operating Expenses (2010 - 2026)
National Healthcare's Operating Expenses came in at $359.09 million for Q2 2026, up 5.4% from $340.82 million a year earlier and up 2.7% from the prior quarter.
National Healthcare (NHC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, National Healthcare reported Operating Expenses of $1.41 billion, up 5.4% year-over-year; for FY2025, it came in at $1.39 billion, up 14.1% from FY2024.
- Operating Expenses has increased in each of the last 13 years, with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.22 billion in FY2024 (+12.3%), $1.08 billion in FY2023 (+2.9%), $1.05 billion in FY2022 (+3.0%) and $1.02 billion in FY2021 (+4.4%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year-over-year, Operating Expenses has increased for 13 consecutive quarters, with growth averaging 12.9% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2025 (growth of 22.5%), and the weakest in Q4 2022 (a decline of 6.8%).
- Business Quant data shows NHC's Operating Expenses at $349.57 million (Q1 2026), $353.4 million (Q4 2025) and $352.28 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.08 Bn | 93.52 Bn | - | 17.74 Bn |
| 2 | Natera | 59.53 Bn | 55.21 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 25.60 Bn | 24.03 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 24.98 Bn | 22.75 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Guardant Health | 23.75 Bn | 19.81 Bn | 219.03 Mn | 464.10 Mn |
| 6 | Tenet Healthcare | 20.75 Bn | 11.90 Bn | - | - |
| 7 | Tempus AI | 14.47 Bn | 11.50 Bn | 246.50 Mn | 458.40 Mn |
| 8 | Encompass Health | 12.19 Bn | 12.65 Bn | - | 1.31 Bn |
| 9 | Davita | 11.20 Bn | 9.97 Bn | 1.16 Bn | 2.98 Bn |
| 10 | National Healthcare | 3.51 Bn | 2.50 Bn | - | 359.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 359.09 Mn |
| Mar 31, 2026 | 349.57 Mn |
| Dec 31, 2025 | 353.40 Mn |
| Sep 30, 2025 | 352.28 Mn |
| Jun 30, 2025 | 340.82 Mn |
| Mar 31, 2025 | 342.93 Mn |
| Dec 31, 2024 | 340.44 Mn |
| Sep 30, 2024 | 317.41 Mn |
| Jun 30, 2024 | 278.14 Mn |
| Mar 31, 2024 | 281.50 Mn |
| Dec 31, 2023 | 280.47 Mn |
| Sep 30, 2023 | 275.46 Mn |
| Jun 30, 2023 | 268.61 Mn |
| Mar 31, 2023 | 259.55 Mn |
| Dec 31, 2022 | 255.50 Mn |
| Sep 30, 2022 | 266.77 Mn |
| Jun 30, 2022 | 266.81 Mn |
| Mar 31, 2022 | 264.77 Mn |
| Dec 31, 2021 | 274.29 Mn |
| Sep 30, 2021 | 263.98 Mn |
National Healthcare Operating Expenses 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=operating-expenses&ticker=NHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();