Healthcare Services (HCSG) Operating Expenses (2009 - 2026)
Healthcare Services (HCSG) recorded Operating Expenses of $52.59 million in Q2 2026, up 7.0% from $49.16 million a year earlier and up 25.2% from the prior quarter.
Healthcare Services (HCSG) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Healthcare Services' Operating Expenses came in at $191.32 million as of Jun 30, 2026, up 2.9% year-over-year; for FY2025, it was $190.87 million, up 4.3% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $183.06 million in FY2024 (+9.8%), $166.77 million in FY2023 (+18.8%), $140.34 million in FY2022 (-18.9%) and $173.11 million in FY2021 (+14.8%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2009.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 4.3%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 41.5% in Q2 2023, against a decline of 41.5% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $42 million (Q1 2026), $46.2 million (Q4 2025) and $50.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 877.22 Mn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | 267.00 Mn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 4.84 Bn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Healthcare Services | 1.48 Bn | 789.88 Mn | 74.79 Mn | 52.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.59 Mn |
| Mar 31, 2026 | 42.00 Mn |
| Dec 31, 2025 | 46.20 Mn |
| Sep 30, 2025 | 50.54 Mn |
| Jun 30, 2025 | 49.16 Mn |
| Mar 31, 2025 | 44.97 Mn |
| Dec 31, 2024 | 44.82 Mn |
| Sep 30, 2024 | 46.89 Mn |
| Jun 30, 2024 | 44.44 Mn |
| Mar 31, 2024 | 46.91 Mn |
| Dec 31, 2023 | 46.25 Mn |
| Sep 30, 2023 | 39.05 Mn |
| Jun 30, 2023 | 41.43 Mn |
| Mar 31, 2023 | 40.05 Mn |
| Dec 31, 2022 | 39.52 Mn |
| Sep 30, 2022 | 35.80 Mn |
| Jun 30, 2022 | 29.28 Mn |
| Mar 31, 2022 | 35.74 Mn |
| Dec 31, 2021 | 44.29 Mn |
| Sep 30, 2021 | 38.78 Mn |
Healthcare Services 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=HCSG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HCSG", "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=HCSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();