Nutex Health (NUTX) Operating Expenses (2010 - 2026)
Nutex Health (NUTX) posted Operating Expenses of $69.47 million for Q2 2026, down 41.6% from $119.06 million a year earlier and down 44.3% from the prior quarter.
Nutex Health (NUTX) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Nutex Health was $412.69 million, up 7.1% year-over-year; for FY2025, it was $430.98 million, up 51.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 29.9% (FY2020 to FY2025).
- In prior years, Nutex Health's Operating Expenses was $283.69 million in FY2024 (+33.3%), $212.87 million in FY2023 (-49.6%), $422.02 million in FY2022 (+177.2%) and $152.25 million in FY2021 (+30.8%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 46.8%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 865.1%; the weakest was Q3 2023, with a decline of 86.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $124.76 million (Q1 2026), $105.54 million (Q4 2025) and $112.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - | 17.74 Bn |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn | 464.10 Mn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - | - |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn | 458.40 Mn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - | 1.31 Bn |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn | 2.98 Bn |
| 10 | Nutex Health | 1.46 Bn | 804.77 Mn | 141.28 Mn | 69.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.47 Mn |
| Mar 31, 2026 | 124.76 Mn |
| Dec 31, 2025 | 105.54 Mn |
| Sep 30, 2025 | 112.92 Mn |
| Jun 30, 2025 | 119.06 Mn |
| Mar 31, 2025 | 93.45 Mn |
| Dec 31, 2024 | 115.99 Mn |
| Sep 30, 2024 | 56.88 Mn |
| Jun 30, 2024 | 53.52 Mn |
| Mar 31, 2024 | 57.30 Mn |
| Dec 31, 2023 | 56.46 Mn |
| Sep 30, 2023 | 55.66 Mn |
| Jun 30, 2023 | 49.28 Mn |
| Mar 31, 2023 | 51.48 Mn |
| Dec 31, 2022 | 53.19 Mn |
| Sep 30, 2022 | 404.97 Mn |
| Jun 30, 2022 | 51.41 Mn |
| Mar 31, 2022 | 43.31 Mn |
| Dec 31, 2021 | 43.92 Mn |
| Sep 30, 2021 | 41.96 Mn |
Nutex Health 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=NUTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NUTX", "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=NUTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();