Cvs Health (CVS) Operating Expenses (2009 - 2026)
Cvs Health's Operating Expenses came in at $101.39 billion for Q2 2026, up 5.0% from $96.53 billion a year earlier and up 5.9% from the prior quarter.
Cvs Health (CVS) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cvs Health reported Operating Expenses of $406.8 billion, up 7.7% year-over-year; for FY2025, it was $397.41 billion, up 9.1% from FY2024.
- Operating Expenses has increased in each of the last 16 years, with a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $364.29 billion in FY2024 (+5.9%), $344.03 billion in FY2023 (+9.4%), $314.51 billion in FY2022 (+12.8%) and $278.8 billion in FY2021 (+9.4%).
- The five-year range for quarterly Operating Expenses is $70.73 billion (Q3 2021) to $106.08 billion (Q3 2025).
- Year-over-year, Operating Expenses has increased for 30 consecutive quarters, with growth averaging 7.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 1.2% in Q3 2023 to 20.3% in Q3 2022.
- Business Quant data shows CVS's Operating Expenses at $95.75 billion (Q1 2026), $103.58 billion (Q4 2025) and $106.08 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 341.92 Bn | 226.55 Bn | 36.67 Bn | 104.04 Bn |
| 2 | Cvs Health | 112.26 Bn | 64.87 Bn | 47.23 Bn | 101.39 Bn |
| 3 | Mckesson | 99.84 Bn | 86.30 Bn | 3.69 Bn | 2.37 Bn |
| 4 | Elevance Health | 85.53 Bn | -56.21 Bn | 13.45 Bn | 48.54 Bn |
| 5 | Cigna | 71.85 Bn | 41.39 Bn | 14.97 Bn | 68.99 Bn |
| 6 | Cencora | 57.95 Bn | 47.04 Bn | 3.61 Bn | 2.28 Bn |
| 7 | Cardinal Health | 51.09 Bn | 35.09 Bn | 2.56 Bn | 1.67 Bn |
| 8 | Humana | 46.78 Bn | -41.02 Bn | 5.50 Bn | 39.51 Bn |
| 9 | Centene | 30.87 Bn | -59.41 Bn | 14.55 Bn | 52.38 Bn |
| 10 | Molina Healthcare | 9.86 Bn | -25.01 Bn | 1.43 Bn | 10.73 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.39 Bn |
| Mar 31, 2026 | 95.75 Bn |
| Dec 31, 2025 | 103.58 Bn |
| Sep 30, 2025 | 106.08 Bn |
| Jun 30, 2025 | 96.53 Bn |
| Mar 31, 2025 | 91.21 Bn |
| Dec 31, 2024 | 95.34 Bn |
| Sep 30, 2024 | 94.60 Bn |
| Jun 30, 2024 | 88.19 Bn |
| Mar 31, 2024 | 86.17 Bn |
| Dec 31, 2023 | 90.44 Bn |
| Sep 30, 2023 | 86.07 Bn |
| Jun 30, 2023 | 85.69 Bn |
| Mar 31, 2023 | 81.83 Bn |
| Dec 31, 2022 | 80.19 Bn |
| Sep 30, 2022 | 85.08 Bn |
| Jun 30, 2022 | 75.97 Bn |
| Mar 31, 2022 | 73.28 Bn |
| Dec 31, 2021 | 74.26 Bn |
| Sep 30, 2021 | 70.73 Bn |
Cvs 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=CVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CVS", "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=CVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();