Enovis (ENOV) Total Current Liabilities (2010 - 2026)
Enovis (ENOV) posted Total Current Liabilities of $612.05 million for Q2 2026, up 7.7% from $568.18 million a year earlier and up 0.6% from the prior quarter.
Enovis (ENOV) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Enovis' Total Current Liabilities came in at $598.47 million, up 13.1% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- In prior years, Enovis' Total Current Liabilities was $529 million in FY2024 (+43.1%), $369.61 million in FY2023 (-34.6%), $565.2 million in FY2022 (-44.8%) and $1.02 billion in FY2021 (+26.1%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities since Q3 2022.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last five quarters, with growth averaging 18.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2024, with growth of 57.1%; the weakest was Q1 2023, with a decline of 75.9%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $608.67 million (Q1 2026), $598.47 million (Q4 2025) and $575.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Enovis | 1.06 Bn | 950.32 Mn | 359.25 Mn | 612.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 612.05 Mn |
| Apr 3, 2026 | 608.67 Mn |
| Dec 31, 2025 | 598.47 Mn |
| Oct 3, 2025 | 575.44 Mn |
| Jul 4, 2025 | 568.18 Mn |
| Apr 4, 2025 | 477.42 Mn |
| Dec 31, 2024 | 529.00 Mn |
| Sep 27, 2024 | 530.22 Mn |
| Jun 28, 2024 | 518.01 Mn |
| Mar 29, 2024 | 549.13 Mn |
| Dec 31, 2023 | 369.61 Mn |
| Sep 29, 2023 | 355.28 Mn |
| Jun 30, 2023 | 353.67 Mn |
| Mar 31, 2023 | 349.50 Mn |
| Dec 31, 2022 | 565.20 Mn |
| Sep 30, 2022 | 853.92 Mn |
| Jul 1, 2022 | 812.80 Mn |
| Apr 1, 2022 | 1.45 Bn |
| Dec 31, 2021 | 1.02 Bn |
| Oct 1, 2021 | 975.47 Mn |
Enovis Total 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-current-liabilities&ticker=ENOV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=ENOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();