Enovis (ENOV) Total Non-Current Liabilities (2010 - 2026)
Enovis (ENOV) posted Total Non-Current Liabilities of $1.92 billion for Q2 2026, down 3.6% from $1.99 billion a year earlier and down 2.1% from the prior quarter.
Analysis
Enovis (ENOV) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
Since Q4 2010, Enovis has reported Total Non-Current Liabilities for 61 quarters.
- Annual Total Non-Current Liabilities has increased for three consecutive years, though with a five-year compound annual growth rate of -9.5% (FY2020 to FY2025).
- In prior years, Enovis' Total Non-Current Liabilities was $1.89 billion in FY2024 (+113.8%), $884.46 million in FY2023 (+34.7%), $656.46 million in FY2022 (-82.4%) and $3.73 billion in FY2021 (+18.3%).
- Quarterly Total Non-Current Liabilities has run from a low of $656.46 million in Q4 2022 to a high of $3.73 billion in Q4 2021 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 32.5%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2024, with growth of 180.6%; the weakest was Q4 2022, with a decline of 82.4%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.96 billion (Q1 2026), $1.92 billion (Q4 2025) and $1.97 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Enovis | 1.05 Bn | 938.79 Mn | 359.25 Mn | 1.92 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 1.92 Bn |
| Apr 3, 2026 | 1.96 Bn |
| Dec 31, 2025 | 1.92 Bn |
| Oct 3, 2025 | 1.97 Bn |
| Jul 4, 2025 | 1.99 Bn |
| Apr 4, 2025 | 1.89 Bn |
| Dec 31, 2024 | 1.89 Bn |
| Sep 27, 2024 | 1.90 Bn |
| Jun 28, 2024 | 1.90 Bn |
| Mar 29, 2024 | 1.92 Bn |
| Dec 31, 2023 | 884.46 Mn |
| Sep 29, 2023 | 799.46 Mn |
| Jun 30, 2023 | 801.24 Mn |
| Mar 31, 2023 | 683.79 Mn |
| Dec 31, 2022 | 656.46 Mn |
| Sep 30, 2022 | 905.95 Mn |
| Jul 1, 2022 | 868.01 Mn |
| Apr 1, 2022 | 3.24 Bn |
| Dec 31, 2021 | 3.73 Bn |
| Oct 1, 2021 | 2.71 Bn |
API Access
Enovis 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=ENOV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ENOV", "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=ENOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();