Omnicell (OMCL) Receivables - Net (2010 - 2026)
Omnicell's Receivables - Net was $227.05 million in Q2 2026, down 2.4% from $232.68 million a year earlier and down 9.1% from the prior quarter.
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Analysis
Omnicell (OMCL) Receivables - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, Receivables - Net at Omnicell came in at $216.86 million, down 15.4% from FY2024.
- Receivables - Net shows a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In earlier years, Receivables - Net was $256.4 million in FY2024 (+1.7%), $252.03 million in FY2023 (-15.8%), $299.47 million in FY2022 (+24.3%) and $240.89 million in FY2021 (+26.7%).
- Quarterly Receivables - Net has moved between $216.86 million (Q4 2025) and $354.1 million (Q3 2022) over five years.
- Compared with a year earlier, Receivables - Net has declined for five straight quarters, with an average decline of 3.6% over the last eight quarters.
- The best year-over-year quarter for Receivables - Net over five years was Q3 2022 (growth of 51.5%); the worst was Q3 2023 (a decline of 23.0%).
- Per Business Quant data, OMCL's Receivables - Net in the three quarters before Q2 2026 was $249.8 million (Q1 2026), $216.86 million (Q4 2025) and $245.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Omnicell | 1.54 Bn | 636.87 Mn | 152.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 227.05 Mn |
| Mar 31, 2026 | 249.80 Mn |
| Dec 31, 2025 | 216.86 Mn |
| Sep 30, 2025 | 245.72 Mn |
| Jun 30, 2025 | 232.68 Mn |
| Mar 31, 2025 | 251.60 Mn |
| Dec 31, 2024 | 256.40 Mn |
| Sep 30, 2024 | 251.76 Mn |
| Jun 30, 2024 | 241.13 Mn |
| Mar 31, 2024 | 248.51 Mn |
| Dec 31, 2023 | 252.03 Mn |
| Sep 30, 2023 | 272.58 Mn |
| Jun 30, 2023 | 273.90 Mn |
| Mar 31, 2023 | 322.07 Mn |
| Dec 31, 2022 | 299.47 Mn |
| Sep 30, 2022 | 354.10 Mn |
| Jun 30, 2022 | 310.52 Mn |
| Mar 31, 2022 | 290.47 Mn |
| Dec 31, 2021 | 240.89 Mn |
| Sep 30, 2021 | 233.73 Mn |
API Access
Omnicell Receivables - Net 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=receivables-net&ticker=OMCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=OMCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();