Omnicell (OMCL) Operating Expenses (2010 - 2026)
Omnicell's Operating Expenses was $120.49 million in Q2 2026, up 0.8% from $119.56 million a year earlier but down 2.4% from the prior quarter.
Powered by 
Analysis
Omnicell (OMCL) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Omnicell's Operating Expenses was $500.16 million through Jun 30, 2026, up 2.7% year-over-year; for FY2025, it was $498.28 million, up 5.9% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $470.67 million in FY2024 (-11.5%), $531.71 million in FY2023 (-10.1%), $591.31 million in FY2022 (+27.1%) and $465.15 million in FY2021 (+23.1%).
- Quarterly Operating Expenses has moved between $111.13 million (Q2 2024) and $160.11 million (Q4 2022) over five years.
- Compared with a year earlier, Operating Expenses has increased for seven straight quarters, with growth averaging 2.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2022 (growth of 41.2%); the worst was Q1 2024 (a decline of 22.7%).
- Per Business Quant data, OMCL's Operating Expenses in the three quarters before Q2 2026 was $123.51 million (Q1 2026), $129.91 million (Q4 2025) and $126.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Omnicell | 1.54 Bn | 636.87 Mn | 152.94 Mn | 120.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.49 Mn |
| Mar 31, 2026 | 123.51 Mn |
| Dec 31, 2025 | 129.91 Mn |
| Sep 30, 2025 | 126.26 Mn |
| Jun 30, 2025 | 119.56 Mn |
| Mar 31, 2025 | 122.56 Mn |
| Dec 31, 2024 | 129.37 Mn |
| Sep 30, 2024 | 115.70 Mn |
| Jun 30, 2024 | 111.13 Mn |
| Mar 31, 2024 | 114.47 Mn |
| Dec 31, 2023 | 128.77 Mn |
| Sep 30, 2023 | 128.25 Mn |
| Jun 30, 2023 | 126.70 Mn |
| Mar 31, 2023 | 147.99 Mn |
| Dec 31, 2022 | 160.11 Mn |
| Sep 30, 2022 | 140.63 Mn |
| Jun 30, 2022 | 145.61 Mn |
| Mar 31, 2022 | 144.96 Mn |
| Dec 31, 2021 | 137.70 Mn |
| Sep 30, 2021 | 117.39 Mn |
API Access
Omnicell 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=OMCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OMCL", "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=OMCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();