RadNet (RDNT) Operating Expenses (2010 - 2026)
RadNet's Operating Expenses came in at $583.25 million for Q2 2026, up 24.8% from $467.35 million a year earlier but down 2.7% from the prior quarter.
RadNet (RDNT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, RadNet reported Operating Expenses of $2.2 billion, up 19.3% year-over-year; for FY2025, it came in at $1.98 billion, up 14.7% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.73 billion in FY2024 (+13.6%), $1.52 billion in FY2023 (+9.7%), $1.38 billion in FY2022 (+11.4%) and $1.24 billion in FY2021 (+16.9%).
- The five-year range for quarterly Operating Expenses is $300.12 million (Q3 2021) to $599.53 million (Q1 2026).
- Year-over-year, Operating Expenses has increased for 23 consecutive quarters, with growth averaging 17.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 4.5% (Q3 2023) to 24.8% (Q2 2026).
- Business Quant data shows RDNT's Operating Expenses at $599.53 million (Q1 2026), $519.89 million (Q4 2025) and $495.48 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 | 100.51 Bn | 96.52 Bn | - | 17.74 Bn |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | - |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | 464.10 Mn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | 901.58 Mn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 362.36 Mn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | 2.98 Bn |
| 10 | RadNet | 5.39 Bn | 2.64 Bn | 88.08 Mn | 583.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 583.25 Mn |
| Mar 31, 2026 | 599.53 Mn |
| Dec 31, 2025 | 519.89 Mn |
| Sep 30, 2025 | 495.48 Mn |
| Jun 30, 2025 | 467.35 Mn |
| Mar 31, 2025 | 495.50 Mn |
| Dec 31, 2024 | 452.58 Mn |
| Sep 30, 2024 | 427.23 Mn |
| Jun 30, 2024 | 424.87 Mn |
| Mar 31, 2024 | 420.37 Mn |
| Dec 31, 2023 | 396.05 Mn |
| Sep 30, 2023 | 358.72 Mn |
| Jun 30, 2023 | 379.27 Mn |
| Mar 31, 2023 | 383.89 Mn |
| Dec 31, 2022 | 362.27 Mn |
| Sep 30, 2022 | 343.12 Mn |
| Jun 30, 2022 | 334.82 Mn |
| Mar 31, 2022 | 343.49 Mn |
| Dec 31, 2021 | 331.32 Mn |
| Sep 30, 2021 | 300.12 Mn |
RadNet 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=RDNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RDNT", "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=RDNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();