Omnicell (OMCL) Total Non-Current Liabilities (2010 - 2026)
Omnicell (OMCL) posted Total Non-Current Liabilities of $696.11 million for Q2 2026, down 20.3% from $873.91 million a year earlier and down 5.6% from the prior quarter.
Omnicell (OMCL) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Omnicell's Total Non-Current Liabilities came in at $732.94 million, down 15.8% from FY2024.
- Annual Total Non-Current Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- In prior years, Omnicell's Total Non-Current Liabilities was $870.43 million in FY2024 (-15.6%), $1.03 billion in FY2023 (-3.9%), $1.07 billion in FY2022 (+8.7%) and $987.97 million in FY2021 (+17.9%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q2 2020.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last seven quarters, with an average decline of 16.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2022, with growth of 21.4%; the weakest was Q3 2025, with a decline of 32.4%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $737.31 million (Q1 2026), $732.94 million (Q4 2025) and $719.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 2.57 Bn |
| 10 | Omnicell | 1.54 Bn | 636.87 Mn | 152.94 Mn | 696.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 696.11 Mn |
| Mar 31, 2026 | 737.31 Mn |
| Dec 31, 2025 | 732.94 Mn |
| Sep 30, 2025 | 719.47 Mn |
| Jun 30, 2025 | 873.91 Mn |
| Mar 31, 2025 | 886.79 Mn |
| Dec 31, 2024 | 870.43 Mn |
| Sep 30, 2024 | 1.06 Bn |
| Jun 30, 2024 | 1.08 Bn |
| Mar 31, 2024 | 1.09 Bn |
| Dec 31, 2023 | 1.03 Bn |
| Sep 30, 2023 | 1.03 Bn |
| Jun 30, 2023 | 1.02 Bn |
| Mar 31, 2023 | 1.10 Bn |
| Dec 31, 2022 | 1.07 Bn |
| Sep 30, 2022 | 1.04 Bn |
| Jun 30, 2022 | 1.03 Bn |
| Mar 31, 2022 | 1.04 Bn |
| Dec 31, 2021 | 987.97 Mn |
| Sep 30, 2021 | 929.37 Mn |
Omnicell Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=OMCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=OMCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();