Addus HomeCare (ADUS) Operating Expenses (2010 - 2026)
Addus HomeCare's Operating Expenses came in at $82.62 million for Q2 2026, up 2.0% from $80.99 million a year earlier and up 1.0% from the prior quarter.
Addus HomeCare (ADUS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Addus HomeCare reported Operating Expenses of $329.53 million, up 10.2% year-over-year; for FY2025, it came in at $323.26 million, up 18.7% from FY2024.
- Operating Expenses has increased in each of the last eight years, with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $272.33 million in FY2024 (+9.4%), $248.92 million in FY2023 (+7.8%), $231 million in FY2022 (+13.3%) and $203.91 million in FY2021 (+12.2%).
- The five-year range for quarterly Operating Expenses is $49.69 million (Q3 2021) to $83.78 million (Q3 2025).
- Year-over-year, Operating Expenses has increased for 35 consecutive quarters, with growth averaging 12.9% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 2.0% (Q2 2026) and 26.5% (Q3 2025) over the last five years.
- Business Quant data shows ADUS's Operating Expenses at $81.8 million (Q1 2026), $81.33 million (Q4 2025) and $83.78 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 | 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 | Addus HomeCare | 2.06 Bn | 1.68 Bn | 121.56 Mn | 82.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.62 Mn |
| Mar 31, 2026 | 81.80 Mn |
| Dec 31, 2025 | 81.33 Mn |
| Sep 30, 2025 | 83.78 Mn |
| Jun 30, 2025 | 80.99 Mn |
| Mar 31, 2025 | 77.16 Mn |
| Dec 31, 2024 | 74.57 Mn |
| Sep 30, 2024 | 66.25 Mn |
| Jun 30, 2024 | 66.98 Mn |
| Mar 31, 2024 | 64.53 Mn |
| Dec 31, 2023 | 64.44 Mn |
| Sep 30, 2023 | 63.89 Mn |
| Jun 30, 2023 | 60.78 Mn |
| Mar 31, 2023 | 59.81 Mn |
| Dec 31, 2022 | 57.96 Mn |
| Sep 30, 2022 | 57.67 Mn |
| Jun 30, 2022 | 58.70 Mn |
| Mar 31, 2022 | 56.67 Mn |
| Dec 31, 2021 | 53.44 Mn |
| Sep 30, 2021 | 49.69 Mn |
Addus HomeCare 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=ADUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ADUS", "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=ADUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();