AdaptHealth (AHCO) Operating Expenses (2018 - 2026)
AdaptHealth (AHCO) reported Operating Expenses of $884.38 million for Q2 2026, up 41.8% from $623.63 million a year earlier and up 8.6% from the prior quarter.
AdaptHealth (AHCO) Operating Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, AdaptHealth's Operating Expenses came in at $3.38 billion, up 17.3% year-over-year; for FY2025, it was $3.19 billion, up 6.3% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 26.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $3 billion in FY2024 (-21.1%), $3.8 billion in FY2023 (+36.6%), $2.78 billion in FY2022 (+24.1%) and $2.24 billion in FY2021 (+124.1%).
- Five-year quarterly Operating Expenses spans a low of $577.58 million in Q3 2021 and a high of $1.27 billion in Q3 2023.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with an average decline of 1.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 113.0%); the low point was Q3 2024 (a decline of 41.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $814.31 million (Q1 2026), $919.95 million (Q4 2025) and $758.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 93.06 Bn | 92.50 Bn | - | 17.74 Bn |
| 2 | Natera | 59.36 Bn | 55.04 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 25.72 Bn | 24.15 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 24.93 Bn | 22.69 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Guardant Health | 23.83 Bn | 19.89 Bn | 219.03 Mn | 464.10 Mn |
| 6 | Tenet Healthcare | 20.58 Bn | 11.72 Bn | - | - |
| 7 | Tempus AI | 14.35 Bn | 11.38 Bn | 246.50 Mn | 458.40 Mn |
| 8 | Encompass Health | 11.99 Bn | 12.46 Bn | - | 1.31 Bn |
| 9 | BrightSpring Health Services | 11.21 Bn | 9.55 Bn | 492.75 Mn | 362.36 Mn |
| 10 | AdaptHealth | 768.76 Mn | 498.80 Mn | 104.21 Mn | 884.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 884.38 Mn |
| Mar 31, 2026 | 814.31 Mn |
| Dec 31, 2025 | 919.95 Mn |
| Sep 30, 2025 | 758.58 Mn |
| Jun 30, 2025 | 623.63 Mn |
| Mar 31, 2025 | 754.71 Mn |
| Dec 31, 2024 | 758.98 Mn |
| Sep 30, 2024 | 742.37 Mn |
| Jun 30, 2024 | 753.93 Mn |
| Mar 31, 2024 | 741.97 Mn |
| Dec 31, 2023 | 1.08 Bn |
| Sep 30, 2023 | 1.27 Bn |
| Jun 30, 2023 | 739.02 Mn |
| Mar 31, 2023 | 718.45 Mn |
| Dec 31, 2022 | 753.55 Mn |
| Sep 30, 2022 | 703.55 Mn |
| Jun 30, 2022 | 668.44 Mn |
| Mar 31, 2022 | 654.65 Mn |
| Dec 31, 2021 | 643.62 Mn |
| Sep 30, 2021 | 577.58 Mn |
AdaptHealth 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=AHCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AHCO", "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=AHCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();